Jeff Meyerson talks to Idit Levine about Unikernels and unik, a project for compiling unikernels. The Linux kernel contains features that may be unnecessary to many application developers--particularly if those developers are deploying to the cloud. Unikernels allow programmers to specify the minimum features of an operating system we need to deploy our applications. Topics include the the Linux kernel, requirements for a cloud operating system, and how unikernels compare to Docker containers.

Cheng Chu
Proc. Amer. Math. Soc. 152 (), 5289-5297.
Abstract, references and article information

The team will be offering carry-out ballpark food to fans on Fridays with orders placed during business hours on Tuesdays and Wednesdays

CEDAR RAPIDS — You weren’t taken out to the ballgame or the crowd. You couldn’t get Cracker Jack, though you could get peanuts. Not to mention hot dogs and bacon cheeseburgers, a...

The disclosed computer-implemented method may include (1) providing a framework that includes (A) a user-space component that runs at a client site and (B) a kernel-space component that runs at a remote site, (2) identifying attributes of objects that reside at the remote site and whose addresses are unknown at the client site, (3) generating a script to test a function of a kernel running on the remote site based at least in part on the attributes, and (4) performing a remote unit testing of the function of the kernel by executing the script such that the user-space component (A) generates a message that identifies the attributes and (B) sends the message to the kernel-space component to facilitate (I) obtaining references to the objects by way of the attributes and (II) invoking the function by way of the references. Various other methods, systems, and computer-readable media are also disclosed.

V. V. Vlasov and N. A. Rautian
Trans. Moscow Math. Soc. 80 (2020), 169-188.
Abstract, references and article information

In this paper, we extend the methodology developed for Support Vector Machines (SVM) using the $ell_2$-norm ($ell_2$-SVM) to the more general case of $ell_p$-norms with $p>1$ ($ell_p$-SVM). We derive second order cone formulations for the resulting dual and primal problems. The concept of kernel function, widely applied in $ell_2$-SVM, is extended to the more general case of $ell_p$-norms with $p>1$ by defining a new operator called multidimensional kernel. This object gives rise to reformulations of dual problems, in a transformed space of the original data, where the dependence on the original data always appear as homogeneous polynomials. We adapt known solution algorithms to efficiently solve the primal and dual resulting problems and some computational experiments on real-world datasets are presented showing rather good behavior in terms of the accuracy of $ell_p$-SVM with $p>1$.

Online multiple kernel learning (OMKL) has provided an attractive performance in nonlinear function learning tasks. Leveraging a random feature approximation, the major drawback of OMKL, known as the curse of dimensionality, has been recently alleviated. In this paper, we introduce a new research problem, termed (stream-based) active multiple kernel learning (AMKL), in which a learner is allowed to label selected data from an oracle according to a selection criterion. This is necessary in many real-world applications as acquiring true labels is costly or time-consuming. We prove that AMKL achieves an optimal sublinear regret, implying that the proposed selection criterion indeed avoids unuseful label-requests. Furthermore, we propose AMKL with an adaptive kernel selection (AMKL-AKS) in which irrelevant kernels can be excluded from a kernel dictionary 'on the fly'. This approach can improve the efficiency of active learning as well as the accuracy of a function approximation. Via numerical tests with various real datasets, it is demonstrated that AMKL-AKS yields a similar or better performance than the best-known OMKL, with a smaller number of labeled data.

Just when Kashmir''s walnut kernel had begun doing brisk business in the international markets, recession hit and its rates tumbled, resulting in heavy losses to the growers, traders and exporters alike...