dg Judge orders state to pay attorney fees in education dispute By feedproxy.google.com Published On :: Fri, 24 Apr 2020 00:00:00 +0000 Full Article Alaska
dg The last judgment. Etching by D. Cunego, 1780, after Michelangelo. By feedproxy.google.com Published On :: Romae: apud Dominicum Cunego. Full Article
dg In Illinois, New Budget Caps Raises and Limits Pensions for Teachers By feedproxy.google.com Published On :: Tue, 05 Jun 2018 00:00:00 +0000 The state's budget bill, which Republican Gov. Bruce Rauner signed into law this week, caps annual raises for end-of-career-teachers, lowering the pension they can receive. Full Article Illinois
dg Cocaine use in America : epidemiologic and clinical perspectives / editors, Nicholas J. Kozel, Edgar H. Adams. By search.wellcomelibrary.org Published On :: Rockville, Maryland : National Institute on Drug Abuse, 1985. Full Article
dg The incidence of driving under the influence of drugs, 1985 : an update of the state of knowledge / [Richard P. Compton and Theodore E. Anderson]. By search.wellcomelibrary.org Published On :: Springfield, Virginia : National Technical Information Service, 1985. Full Article
dg Policy and guidelines for the provision of needle and syringe exchange services to young people / Tom Aldridge and Andrew Preston. By search.wellcomelibrary.org Published On :: [Dorchester] : Dorset Community NHS Trust, 1997. Full Article
dg Universal Latent Space Model Fitting for Large Networks with Edge Covariates By Published On :: 2020 Latent space models are effective tools for statistical modeling and visualization of network data. Due to their close connection to generalized linear models, it is also natural to incorporate covariate information in them. The current paper presents two universal fitting algorithms for networks with edge covariates: one based on nuclear norm penalization and the other based on projected gradient descent. Both algorithms are motivated by maximizing the likelihood function for an existing class of inner-product models, and we establish their statistical rates of convergence for these models. In addition, the theory informs us that both methods work simultaneously for a wide range of different latent space models that allow latent positions to affect edge formation in flexible ways, such as distance models. Furthermore, the effectiveness of the methods is demonstrated on a number of real world network data sets for different statistical tasks, including community detection with and without edge covariates, and network assisted learning. Full Article
dg Targeted Fused Ridge Estimation of Inverse Covariance Matrices from Multiple High-Dimensional Data Classes By Published On :: 2020 We consider the problem of jointly estimating multiple inverse covariance matrices from high-dimensional data consisting of distinct classes. An $ell_2$-penalized maximum likelihood approach is employed. The suggested approach is flexible and generic, incorporating several other $ell_2$-penalized estimators as special cases. In addition, the approach allows specification of target matrices through which prior knowledge may be incorporated and which can stabilize the estimation procedure in high-dimensional settings. The result is a targeted fused ridge estimator that is of use when the precision matrices of the constituent classes are believed to chiefly share the same structure while potentially differing in a number of locations of interest. It has many applications in (multi)factorial study designs. We focus on the graphical interpretation of precision matrices with the proposed estimator then serving as a basis for integrative or meta-analytic Gaussian graphical modeling. Situations are considered in which the classes are defined by data sets and subtypes of diseases. The performance of the proposed estimator in the graphical modeling setting is assessed through extensive simulation experiments. Its practical usability is illustrated by the differential network modeling of 12 large-scale gene expression data sets of diffuse large B-cell lymphoma subtypes. The estimator and its related procedures are incorporated into the R-package rags2ridges. Full Article
dg WONDER: Weighted One-shot Distributed Ridge Regression in High Dimensions By Published On :: 2020 In many areas, practitioners need to analyze large data sets that challenge conventional single-machine computing. To scale up data analysis, distributed and parallel computing approaches are increasingly needed. Here we study a fundamental and highly important problem in this area: How to do ridge regression in a distributed computing environment? Ridge regression is an extremely popular method for supervised learning, and has several optimality properties, thus it is important to study. We study one-shot methods that construct weighted combinations of ridge regression estimators computed on each machine. By analyzing the mean squared error in a high-dimensional random-effects model where each predictor has a small effect, we discover several new phenomena. Infinite-worker limit: The distributed estimator works well for very large numbers of machines, a phenomenon we call 'infinite-worker limit'. Optimal weights: The optimal weights for combining local estimators sum to more than unity, due to the downward bias of ridge. Thus, all averaging methods are suboptimal. We also propose a new Weighted ONe-shot DistributEd Ridge regression algorithm (WONDER). We test WONDER in simulation studies and using the Million Song Dataset as an example. There it can save at least 100x in computation time, while nearly preserving test accuracy. Full Article
dg Keeping the balance—Bridge sampling for marginal likelihood estimation in finite mixture, mixture of experts and Markov mixture models By projecteuclid.org Published On :: Mon, 26 Aug 2019 04:00 EDT Sylvia Frühwirth-Schnatter. Source: Brazilian Journal of Probability and Statistics, Volume 33, Number 4, 706--733.Abstract: Finite mixture models and their extensions to Markov mixture and mixture of experts models are very popular in analysing data of various kind. A challenge for these models is choosing the number of components based on marginal likelihoods. The present paper suggests two innovative, generic bridge sampling estimators of the marginal likelihood that are based on constructing balanced importance densities from the conditional densities arising during Gibbs sampling. The full permutation bridge sampling estimator is derived from considering all possible permutations of the mixture labels for a subset of these densities. For the double random permutation bridge sampling estimator, two levels of random permutations are applied, first to permute the labels of the MCMC draws and second to randomly permute the labels of the conditional densities arising during Gibbs sampling. Various applications show very good performance of these estimators in comparison to importance and to reciprocal importance sampling estimators derived from the same importance densities. Full Article
dg Risk-Aware Energy Scheduling for Edge Computing with Microgrid: A Multi-Agent Deep Reinforcement Learning Approach. (arXiv:2003.02157v2 [physics.soc-ph] UPDATED) By arxiv.org Published On :: In recent years, multi-access edge computing (MEC) is a key enabler for handling the massive expansion of Internet of Things (IoT) applications and services. However, energy consumption of a MEC network depends on volatile tasks that induces risk for energy demand estimations. As an energy supplier, a microgrid can facilitate seamless energy supply. However, the risk associated with energy supply is also increased due to unpredictable energy generation from renewable and non-renewable sources. Especially, the risk of energy shortfall is involved with uncertainties in both energy consumption and generation. In this paper, we study a risk-aware energy scheduling problem for a microgrid-powered MEC network. First, we formulate an optimization problem considering the conditional value-at-risk (CVaR) measurement for both energy consumption and generation, where the objective is to minimize the loss of energy shortfall of the MEC networks and we show this problem is an NP-hard problem. Second, we analyze our formulated problem using a multi-agent stochastic game that ensures the joint policy Nash equilibrium, and show the convergence of the proposed model. Third, we derive the solution by applying a multi-agent deep reinforcement learning (MADRL)-based asynchronous advantage actor-critic (A3C) algorithm with shared neural networks. This method mitigates the curse of dimensionality of the state space and chooses the best policy among the agents for the proposed problem. Finally, the experimental results establish a significant performance gain by considering CVaR for high accuracy energy scheduling of the proposed model than both the single and random agent models. Full Article
dg Visualisation and knowledge discovery from interpretable models. (arXiv:2005.03632v1 [cs.LG]) By arxiv.org Published On :: Increasing number of sectors which affect human lives, are using Machine Learning (ML) tools. Hence the need for understanding their working mechanism and evaluating their fairness in decision-making, are becoming paramount, ushering in the era of Explainable AI (XAI). In this contribution we introduced a few intrinsically interpretable models which are also capable of dealing with missing values, in addition to extracting knowledge from the dataset and about the problem. These models are also capable of visualisation of the classifier and decision boundaries: they are the angle based variants of Learning Vector Quantization. We have demonstrated the algorithms on a synthetic dataset and a real-world one (heart disease dataset from the UCI repository). The newly developed classifiers helped in investigating the complexities of the UCI dataset as a multiclass problem. The performance of the developed classifiers were comparable to those reported in literature for this dataset, with additional value of interpretability, when the dataset was treated as a binary class problem. Full Article
dg Fractional ridge regression: a fast, interpretable reparameterization of ridge regression. (arXiv:2005.03220v1 [stat.ME]) By arxiv.org Published On :: Ridge regression (RR) is a regularization technique that penalizes the L2-norm of the coefficients in linear regression. One of the challenges of using RR is the need to set a hyperparameter ($alpha$) that controls the amount of regularization. Cross-validation is typically used to select the best $alpha$ from a set of candidates. However, efficient and appropriate selection of $alpha$ can be challenging, particularly where large amounts of data are analyzed. Because the selected $alpha$ depends on the scale of the data and predictors, it is not straightforwardly interpretable. Here, we propose to reparameterize RR in terms of the ratio $gamma$ between the L2-norms of the regularized and unregularized coefficients. This approach, called fractional RR (FRR), has several benefits: the solutions obtained for different $gamma$ are guaranteed to vary, guarding against wasted calculations, and automatically span the relevant range of regularization, avoiding the need for arduous manual exploration. We provide an algorithm to solve FRR, as well as open-source software implementations in Python and MATLAB (https://github.com/nrdg/fracridge). We show that the proposed method is fast and scalable for large-scale data problems, and delivers results that are straightforward to interpret and compare across models and datasets. Full Article
dg The Routledge companion to rural planning By dal.novanet.ca Published On :: Fri, 1 May 2020 19:44:43 -0300 Callnumber: OnlineISBN: 9781315102375 (electronic bk.) Full Article
dg An encyclopaedia of British bridges By dal.novanet.ca Published On :: Fri, 1 May 2020 19:44:43 -0300 Author: McFetrich, David, author.Callnumber: OnlineISBN: 9781526752963 (electronic bk.) Full Article
dg A unified treatment of multiple testing with prior knowledge using the p-filter By projecteuclid.org Published On :: Fri, 02 Aug 2019 22:04 EDT Aaditya K. Ramdas, Rina F. Barber, Martin J. Wainwright, Michael I. Jordan. Source: The Annals of Statistics, Volume 47, Number 5, 2790--2821.Abstract: There is a significant literature on methods for incorporating knowledge into multiple testing procedures so as to improve their power and precision. Some common forms of prior knowledge include (a) beliefs about which hypotheses are null, modeled by nonuniform prior weights; (b) differing importances of hypotheses, modeled by differing penalties for false discoveries; (c) multiple arbitrary partitions of the hypotheses into (possibly overlapping) groups and (d) knowledge of independence, positive or arbitrary dependence between hypotheses or groups, suggesting the use of more aggressive or conservative procedures. We present a unified algorithmic framework called p-filter for global null testing and false discovery rate (FDR) control that allows the scientist to incorporate all four types of prior knowledge (a)–(d) simultaneously, recovering a variety of known algorithms as special cases. Full Article
dg On Bayesian new edge prediction and anomaly detection in computer networks By projecteuclid.org Published On :: Wed, 27 Nov 2019 22:01 EST Silvia Metelli, Nicholas Heard. Source: The Annals of Applied Statistics, Volume 13, Number 4, 2586--2610.Abstract: Monitoring computer network traffic for anomalous behaviour presents an important security challenge. Arrivals of new edges in a network graph represent connections between a client and server pair not previously observed, and in rare cases these might suggest the presence of intruders or malicious implants. We propose a Bayesian model and anomaly detection method for simultaneously characterising existing network structure and modelling likely new edge formation. The method is demonstrated on real computer network authentication data and successfully identifies some machines which are known to be compromised. Full Article
dg On the eigenproblem for Gaussian bridges By projecteuclid.org Published On :: Mon, 27 Apr 2020 04:02 EDT Pavel Chigansky, Marina Kleptsyna, Dmytro Marushkevych. Source: Bernoulli, Volume 26, Number 3, 1706--1726.Abstract: Spectral decomposition of the covariance operator is one of the main building blocks in the theory and applications of Gaussian processes. Unfortunately, it is notoriously hard to derive in a closed form. In this paper, we consider the eigenproblem for Gaussian bridges. Given a base process, its bridge is obtained by conditioning the trajectories to start and terminate at the given points. What can be said about the spectrum of a bridge, given the spectrum of its base process? We show how this question can be answered asymptotically for a family of processes, including the fractional Brownian motion. Full Article
dg Living through English history : stories of the Urlwin, Brittridge, Vasper, Partridge and Ellerby families / Janet McLeod. By www.catalog.slsa.sa.gov.au Published On :: Urlwin (Family). Full Article
dg As States’ Budgets Reel During COVID-19, Districts to Feel the Wrath By marketbrief.edweek.org Published On :: Wed, 06 May 2020 21:23:43 +0000 State funding for K-12 is likely to fall sharply, though districts could look to protect essentials like distance-learning support and professional development, says school finance expert Mike Griffith. The post As States’ Budgets Reel During COVID-19, Districts to Feel the Wrath appeared first on Market Brief. Full Article Analyst's View COVID-19 Federal / State Policy Funding / Budgets Procurement / Purchasing / RFPs State Policy
dg Glass stereoscopic slides of Gallipoli, May 1915 / photographed by Charles Snodgrass Ryan By feedproxy.google.com Published On :: 2/04/2015 12:00:00 AM Full Article
dg want to do good know how to shoot a semiautomatic handgun v By www.yhchang.com Published On :: Full Article
dg Academy welcomes budget announcements on infrastructure and research By www.raeng.org.uk Published On :: Wed, 11 Mar 2020 16:40:30 +00:00 Full Article
dg New Engineering X Pandemic Preparedness programme to support global innovation and knowledge sharing By www.raeng.org.uk Published On :: Mon, 04 May 2020 13:00:00 +01:00 Full Article
dg 4 Sales Presentation Innovations That Keep Viewers on the Edge of Their Seats By www.crmbuyer.com Published On :: 2020-03-11T11:56:41-07:00 People have been giving presentations for thousands of years, from Moses with his stone tablets to Elon Musk revealing his grand plans to colonize Mars. While the elements of a great pitchman generally have remained the same over the past 5,000 years -- conviction, charisma, credibility -- today's successful presenters do more than just get in front of an audience and talk. Full Article
dg Cross Recruitment of Domain-Selective Cortical Representations Enables Flexible Semantic Knowledge By www.jneurosci.org Published On :: 2020-04-08T09:30:18-07:00 Knowledge about objects encompasses not only their prototypical features but also complex, atypical, semantic knowledge (e.g., "Pizza was invented in Naples"). This fMRI study of male and female human participants combines univariate and multivariate analyses to consider the cortical representation of this more complex semantic knowledge. Using the categories of food, people, and places, this study investigates whether access to spatially related geographic semantic knowledge (1) involves the same domain-selective neural representations involved in access to prototypical taste knowledge about food; and (2) elicits activation of neural representations classically linked to places when this geographic knowledge is accessed about food and people. In three experiments using word stimuli, domain-relevant and atypical conceptual access for the categories food, people, and places were assessed. Results uncover two principles of semantic representation: food-selective representations in the left insula continue to be recruited when prototypical taste knowledge is task-irrelevant and under conditions of high cognitive demand; access to geographic knowledge for food and people categories involves the additional recruitment of classically place-selective parahippocampal gyrus, retrosplenial complex, and transverse occipital sulcus. These findings underscore the importance of object category in the representation of a broad range of knowledge, while showing how the cross recruitment of specialized representations may endow the considerable flexibility of our complex semantic knowledge. SIGNIFICANCE STATEMENT We know not only stereotypical things about objects (an apple is round, graspable, edible) but can also flexibly combine typical and atypical features to form complex concepts (the metaphorical role an apple plays in Judeo-Christian belief). In this fMRI study, we observe that, when atypical geographic knowledge is accessed about food dishes, domain-selective sensorimotor-related cortical representations continue to be recruited, but that regions classically associated with place perception are additionally engaged. This interplay between categorically driven representations, linked to the object being accessed, and the flexible recruitment of semantic stores linked to the content being accessed, provides a potential mechanism for the broad representational repertoire of our semantic system. Full Article
dg How berry knowledgeable are you? By www.fao.org Published On :: Wed, 22 Jul 2015 00:00:00 GMT Ripe, juicy, and practically begging to be eaten, berries are a spring and summer treat that make your mouth water. To celebrate the pinnacle of berry season, we gathered some facts and figures and are challenging you to see how far your berry knowledge really goes. Full Article
dg Opening a world of knowledge By www.fao.org Published On :: Mon, 23 Apr 2018 00:00:00 GMT If you are an avid reader, then you might know that today is World Book Day. You also probably know the word prolific and when it comes to books, FAO is nothing short of prolific. In fact, a library was at the origins of FAO. David Lubin, a Polish-born American citizen, saw the struggles that farmers face and helped to start the [...] Full Article
dg Resource partners round table calls for investment in better data for the Sustainable Development Goals (SDGs) By www.fao.org Published On :: Fri, 28 Jun 2019 00:00:00 GMT Four years into the 2030 Agenda, there is still a large gap in data to understand where the world stands in achieving its shared goals, the SDGs. To support [...] Full Article
dg First report on the SDG indicators under FAO custodianship By www.fao.org Published On :: Thu, 18 Jul 2019 00:00:00 GMT Four years into the 2030 Agenda and there is a pressing need to understand where the world stands in eradicating hunger and food insecurity, as well as ensuring sustainable [...] Full Article
dg SDG indicators under FAO custodianship: What's new? By www.fao.org Published On :: Tue, 26 Nov 2019 00:00:00 GMT Since the adoption of the 2030 Agenda, FAO has produced a wealth of materials aimed at promoting knowledge and understanding related to the SDG Indicators under FAO custodianship. As the custodian [...] Full Article
dg http://digg.com/submit?url=http://www.edge.org/conversation/this-will-make-you-smarter By digg.com Published On :: Full Article
dg http://digg.com/submit?url=http://www.edge.org/conversation/science-is-the-only-news By digg.com Published On :: Full Article
dg http://digg.com/submit?url=http://www.edge.org/conversation/a-universe-of-self-replicating-code By digg.com Published On :: Full Article
dg http://digg.com/submit?url=http://www.edge.org/conversation/a-cultural-history-of-physics By digg.com Published On :: Full Article
dg http://digg.com/submit?url=http://www.edge.org/conversation/-quotthe-man-who-runs-the-world-39s-smartest-website-quot-in-the-observer By digg.com Published On :: Full Article
dg http://digg.com/submit?url=http://www.edge.org/conversation/ By digg.com Published On :: Full Article
dg Newly Unsealed Vatican Archives Lay Out Evidence of Pope Pius XII's Knowledge of the Holocaust By www.smithsonianmag.com Published On :: Tue, 05 May 2020 12:30:00 +0000 The Catholic Church's actions during World War II have long been a matter of historical debate Full Article
dg Comment on Squeekville, model train amusement park, on display at Children’s Museum Gala – Oak Ridger by modelsteamtrain By rss-newsfeed.india-meets-classic.net Published On :: Sat, 20 Nov 2010 12:19:12 +0000 <span class="topsy_trackback_comment"><span class="topsy_twitter_username"><span class="topsy_trackback_content">Squeekville, model train amusement park, on display at Children's ...: Squeekville, model train amusement park, ... http://bit.ly/9x4oFS</span></span> Full Article
dg Man beaten in Dodgers parking lot sues team for negligence By www.cbc.ca Published On :: Sat, 25 Apr 2020 11:48:23 EDT The Los Angeles Dodgers are being sued for negligence by a man who was attacked in the parking lot of Dodger Stadium and left with brain damage, his lawyers announced Friday. Full Article Sports/Baseball/MLB
dg Open COVID Pledge Makes Critical IP Freely Accessible for Pandemic Fight By www.ecommercetimes.com Published On :: 2020-04-09T11:02:33-07:00 Legal experts and leading scientists have teamed up with Creative Commons to create the Open COVID Pledge to help speed up the battle against the coronavirus pandemic. The Pledge gives broad permission to anyone to use intellectual property not otherwise accessible to the public, and generally replaces the need for any other license or royalty agreement. Full Article
dg New Shopify App Offers Local SMBs a Bridge to E-Commerce By www.ecommercetimes.com Published On :: 2020-04-30T04:00:00-07:00 Shopify has unveiled an app that lets users discover local businesses, receive relevant product recommendations from their favorite brands, check out effortlessly, and track all their online orders. It can gather and track orders automatically, but it also works without auto-tracking. Consumers can get a customized feed with deals, trending items and recommendations from their favorite stores. Full Article
dg Taxpayers on the hook for $600K 'bridge to nowhere', says local woman By www.cbc.ca Published On :: Fri, 8 May 2020 07:09:44 EDT A petition is being circulated to get a $600,000 bridge replacement project near Millvale scrapped. Full Article News/Canada/PEI
dg Raftaar: Our biggest contribution will be to acknowledge the fact that the COVID warriors are doing a brilliant job By rss-newsfeed.india-meets-classic.net Published On :: Fri, 08 May 2020 22:03:24 +0000 "I have tied up with several NGO’s like Parivartan the change who donate food to over 500 people every day as well with welfare organisations like 4dogsakeindia where we feed over 200 street dogs." Full Article IMC News Feed
dg Claim of unequal pay by U.S. women's soccer team dismissed by judge By www.cbc.ca Published On :: Fri, 1 May 2020 20:14:44 EDT A federal judge threw out the unequal pay claim by players on the U.S. women's national soccer team but allowed their allegation of discriminatory travel accommodations and medical support services to go to trial. Full Article Sports/Soccer
dg Police say 2 Waterloo Regional Police Service badges stolen By www.cbc.ca Published On :: Fri, 8 May 2020 08:58:08 EDT Waterloo regional police two police badges were stolen from a home in Cambridge. Full Article News/Canada/Kitchener-Waterloo
dg A Politician Takes a Sledgehammer to His Own Ego By www.nytimes.com Published On :: Sat, 11 Apr 2020 18:38:37 GMT Just in time for Easter, the story of a blind state leader who is giving up his office to join the Jesuits. Full Article
dg Bridge Proxy-SVAR: estimating the macroeconomic effects of shocks identified at high-frequency By www.bancaditalia.it Published On :: 2020-04-01T00:00:00Z Bank of Italy Working Papers by Andrea Gazzani and Alejandro Vicondoa Full Article