
SHOGUN
 Referenced in 103 articles
[sw03517]
 support vector machines, hidden Markov models, multiple kernel learning, linear discriminant analysis, and more. Most...

SimpleMKL
 Referenced in 66 articles
[sw12290]
 SimpleMKL. Multiple kernel learning (MKL) aims at simultaneously learning a kernel and the associated predictor ... vector machine, an efficient and general multiple kernel learning algorithm, based on semiinfinite linear ... from learning the combination, we solve a standard SVM optimization problem, where the kernel ... defined as a linear combination of multiple kernels. We propose an algorithm, named SimpleMKL...

SpicyMKL
 Referenced in 9 articles
[sw14765]
 SpicyMKL: a fast algorithm for multiple kernel learning with thousands of kernels. We propose ... optimization algorithm for multiple kernel learning (MKL) called SpicyMKL, which is applicable to general convex...

EasyMKL
 Referenced in 6 articles
[sw32450]
 EasyMKL: A scalable multiple kernel learning algorithm. The goal of Multiple Kernel Learning...

COFFIN
 Referenced in 8 articles
[sw04881]
 fusion by concatenating feature spaces or multiple kernel learning. Unfortunately, they are not suited...

JKernelmachines
 Referenced in 2 articles
[sw10890]
 based kernel combination methods such as Multiple Kernel Learning (MKL), and a recently published algorithm...

LIBXSMM
 Referenced in 9 articles
[sw23238]
 deep learning primitives such as small convolutions targeting Intel Architecture. Small matrix multiplication kernels...

EMaLeS
 Referenced in 11 articles
[sw15190]
 prover E. EMaLeS applies a kernelbased learning method to predict the runtime ... problem and dynamically constructs a schedule of multiple promising strategies that are tried in sequence...

PointCNN
 Referenced in 7 articles
[sw32557]
 irregular and unordered, thus directly convolving kernels against features associated with the points, will result ... address these problems, we propose to learn an Xtransformation from the input points ... generalization of typical CNNs to feature learning from point clouds, thus we call it PointCNN ... than stateoftheart methods on multiple challenging benchmark datasets and tasks...

SMATER
 Referenced in 1 article
[sw30962]
 architecture. Sparse matrix vector multiplication (SpMV) is an important computational kernel in traditional highperformance ... matrix during runtime. SMATER leverages a machinelearning model and retargetable backend library...

Gazelle
 Referenced in 1 article
[sw38099]
 growing popularity of cloudbased machine learning raises a natural question about the privacy guarantees ... such as SIMD (single instruction multiple data) addition, SIMD multiplication and ciphertext permutation. Second ... implement the Gazelle homomorphic linear algebra kernels which map neural network layers to optimized homomorphic...

ADOLC
 Referenced in 247 articles
[sw00019]
 ADOLC: Automatic Differentiation of C/C++. We present...

ANSYS
 Referenced in 685 articles
[sw00044]
 ANSYS offers a comprehensive software suite that spans...

ATLAS
 Referenced in 198 articles
[sw00056]
 This paper describes the Automatically Tuned Linear Algebra...

CGAL
 Referenced in 381 articles
[sw00118]
 The goal of the CGAL Open Source Project...

CLIFFORD
 Referenced in 82 articles
[sw00131]
 CLIFFORD performs various computations in Grass mann and...

Coq
 Referenced in 1856 articles
[sw00161]
 Coq is a formal proof management system. It...

CSDP
 Referenced in 202 articles
[sw00169]
 CSDP, A C Library for Semidefinite Programming. This...

GAP
 Referenced in 3068 articles
[sw00320]
 GAP is a system for computational discrete algebra...

GLOB
 Referenced in 36 articles
[sw00357]
 GLOB  a new VNSbased software for global...