Boston ; Berlin : Birkhäuser, 2006

New York : Springer, 2005

Archives, Room Use Only - HE7631.W56 1880

Identifying emerging research areas and technologies is important for decision makers, but notoriously difficult to do. This study presents a new way of searching the literature to identify emerging topics, which will help policymakers, industry and funding bodies to make better decisions.

Topics #SystemWebFigure Figure: depiction of WebHome, ReferenceManual, ManagingTopics, ManagingWebs, MainFeatures topics contained in the System web #TopicDefinition ... (last changed by ProjectContributor)

Numerous Topics Can Be Found on the Rquinox Q Blog This is a great source for more. blogq.net To see more, read this. Keywords: Mrs q blog, Blog q, Rquinox q blog, Q models blog, Rquinox q blog, Blog q.

The post Numerous Topics Can Be Found on the Rquinox Q Blog appeared first on RSS News Feed.

Barbara Hardie, award-winning author and founder of Angel Connections, is concerned about the battle of opposing viewpoints on some important human issues. If you are interested in the spiritual laws regarding these matters, you need to read on.

In one embodiment, a method includes deriving input topics based on a content item, generating a matrix of scores for the input topics according to a first set of cross-indexed topics, where each of the scores indicates a degree of similarity between a corresponding one of the input topics and a corresponding one of the first cross-indexed topics, calculating a total score for each of the first cross-indexed topics based on the scores for the first cross-indexed topic across all of the input topics, and selecting one or more of the first cross-indexed topics based on the total scores of the first cross-indexed topics. Deriving the input topics may include using a topic tagger to identify the topics based on the content item. The first set of cross-indexed topics may be generated from a database of topics, such as an online encyclopedia.

Host: Jeff Hayden, certified criminal law specialist, California Board of Legal Specialization, State Bar of California. Jeff welcomes employment law specialists: -- Margaret Grover, Esq., Partner, Wendel Rosen Black & Dean LLP, Oakland, CA. Maggie is a 30-year attorney practicing employment law and member of the Labor and Employment Section of the California Lawyers Association (CLA). -- Ellen Mendelson, Esq., San Francisco, CA. The law office of Ellen A Mendelson focuses on representing public and other employees. With over 25 years experience, Ellen is a member of the Labor and Employment Section of the CLA. -- Douglas Robbins, partner in Wood, Robbins LLP, San Francisco, California. Wood Robbins focuses their Employment Law practice in three areas of Employment Litigation: Trade Secret Litigation; Misclassification (Independent Contractor/Employee) Litigation; and Wage & Hour Litigation. Douglas is a member of the Board of Directors of the San Mateo County Bar Association.

Karen and Bradley discuss the GNOME 3.2 release, Karen interviews Jos Poortvliet, Bradley complains about identi.ca web interface and they discuss together UEFI “secure” boot, and the PyPy Python 3 campaign.

Show Notes:

Segment 0 (00:40)

• Bradley wrote a blog post about how GNOME 3 is not for him.

Segment 1 (07:14)

• Karen interviewed Jos Poortvliet

Segment 2 (21:04)

• Bradley mentioned Shaun McCance's post to desktop-devel about response bias, which he posted on user survey thread. (25:04)
• Karen mentioned that GNOME 3.2 has been released with new features, such as better window resizing. (28:57)
• Bradley pointed out that gnats was one of the earliest Free Software bug tracking systems. (30:37)

Segment 3 (31:53)

• Bradley mentioned that he feels like the unfrozen caveman lawyer when trying to use identi.ca now. (32:54)
• Bradley mentioned Matthew Garrett's blog post about UEFI so-called “secure” booting. (37:36)
• PyPy is trying to raise funds to support Python 3 on PyPy. (41:20)

Send feedback and comments on the cast to <oggcast@faif.us>. You can keep in touch with Free as in Freedom on our IRC channel, #faif on irc.freenode.net, and by following Conservancy on on Twitter and and FaiF on Twitter.

Free as in Freedom is produced by Dan Lynch of danlynch.org. Theme music written and performed by Mike Tarantino with Charlie Paxson on drums.

The content of this audcast, and the accompanying show notes and music are licensed under the Creative Commons Attribution-Share-Alike 4.0 license (CC BY-SA 4.0).

One of the biggest challenges when starting a new blog or website is deciding what the topic of your site is going to be about. You also want to take into consideration what people are looking for online. If you’re stuck on an idea for your site here are the 10 most popular topics that are searched for online besides porn of course and the rough percentage of traffic each one gets.

IndyStar's columnist and radio man Derek Schultz cover the Hoosiers, Boilermakers, Bulldogs and what disease concerns mean to fans

For the second week running hosting duties are taken by Henry Burrell, who is joined by Techworld.com editor Charlotte Jee to discuss the impact of Brexit on the UK's startups. Producer Chris then jumps in to discuss the Pokemon Go launch in the UK and a debate breaks out over whether it is for adults (13:00) Finally, online editor at Computerworld UK Scott Carey brings the latest news around driverless cars, from Tesla's recent struggles and how it may affect the industry in general (25:00)  

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Oh boy what a meaty session we have for you as Christina Mercer, Somrata Sarkar, David Price and Henry Burrell tackle three whopics (whopping topics) head on.

Somrata takes us into the sometimes scary thoughts of our own digital afterlives. Should we be worried that we'll end up as misrepresentative chat bots one day? Who will have the authority to police the companies that harvest our data?

Then Christina explains the knife edge America is on when it comes to net neutrality. Despite recent hope, there's still a chance the web across the pond will be ruthlessly metered and segmented.

Finally David asks us if we've checked our unused email accounts recently, as there might be a lot of desperate noodle companies in there begging you to stay on their mailing lists.

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London : Longmans, Green, 1903.

Xin Bing, Florentina Bunea, Marten Wegkamp.

Source: Bernoulli, Volume 26, Number 3, 1765--1796.

Abstract:
Topic models have become popular for the analysis of data that consists in a collection of n independent multinomial observations, with parameters $N_{i}inmathbb{N}$ and $Pi_{i}in[0,1]^{p}$ for $i=1,ldots,n$. The model links all cell probabilities, collected in a $p imes n$ matrix $Pi$, via the assumption that $Pi$ can be factorized as the product of two nonnegative matrices $Ain[0,1]^{p imes K}$ and $Win[0,1]^{K imes n}$. Topic models have been originally developed in text mining, when one browses through $n$ documents, based on a dictionary of $p$ words, and covering $K$ topics. In this terminology, the matrix $A$ is called the word-topic matrix, and is the main target of estimation. It can be viewed as a matrix of conditional probabilities, and it is uniquely defined, under appropriate separability assumptions, discussed in detail in this work. Notably, the unique $A$ is required to satisfy what is commonly known as the anchor word assumption, under which $A$ has an unknown number of rows respectively proportional to the canonical basis vectors in $mathbb{R}^{K}$. The indices of such rows are referred to as anchor words. Recent computationally feasible algorithms, with theoretical guarantees, utilize constructively this assumption by linking the estimation of the set of anchor words with that of estimating the $K$ vertices of a simplex. This crucial step in the estimation of $A$ requires $K$ to be known, and cannot be easily extended to the more realistic set-up when $K$ is unknown. This work takes a different view on anchor word estimation, and on the estimation of $A$. We propose a new method of estimation in topic models, that is not a variation on the existing simplex finding algorithms, and that estimates $K$ from the observed data. We derive new finite sample minimax lower bounds for the estimation of $A$, as well as new upper bounds for our proposed estimator. We describe the scenarios where our estimator is minimax adaptive. Our finite sample analysis is valid for any $n,N_{i},p$ and $K$, and both $p$ and $K$ are allowed to increase with $n$, a situation not handled well by previous analyses. We complement our theoretical results with a detailed simulation study. We illustrate that the new algorithm is faster and more accurate than the current ones, although we start out with a computational and theoretical disadvantage of not knowing the correct number of topics $K$, while we provide the competing methods with the correct value in our simulations.

During OM France’s last LinkUp, an interdenominational event for all teens and young adults in the Nantes region, OMers focused on the theme of sexuality.

Udemy for Business is powered by Udemy, which enables the world’s experts to develop courses and share their knowledge.

Prosecutions are down. There is no new safety law, and Brexit should not make much difference, but employers cannot drop their guard when it comes to the health and safety of people. ...

Check the most important topics of Economics for the preparation of UPSC (IAS) Prelims Exam 2020. All the important topics have been added after a detailed analysis of the latest UPSC Prelims 2020 Syllabus.

Jim Cramer gets a preview of J.P. Morgan's upcoming health-care conference with the firm's top health-care analyst, Lisa Gill.