• spatstat

  • Referenced in 142 articles [sw04429]
  • distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk...
  • KPCA plus LDA

  • Referenced in 69 articles [sw08766]
  • theory of kernel Fisher discriminant analysis (KFD) in a Hilbert space and develops...
  • VAMPIRE

  • Referenced in 258 articles [sw02918]
  • shell and a kernel. The kernel implements the calculi of ordered binary resolution and superposition ... techniques are used for pruning the search space: subsumption, tautology deletion (optionally modulo commutativity), subsumption ... checks of ordering constraints. Although the kernel of the system works only with clausal normal...
  • COFFIN

  • Referenced in 8 articles [sw04881]
  • state-of-the-art results. Using the kernel trick, they work on several domains ... data fusion by concatenating feature spaces or multiple kernel learning. Unfortunately, they are not suited ... demand computed kernel feature spaces and virtual examples in the primal. With linear training ... involving 50 million examples and sophisticated string kernels. Additionally, we learn an SVM based gender...
  • kFOIL

  • Referenced in 12 articles [sw23358]
  • logic programming system FOIL with kernel methods. The feature space is constructed by leveraging FOIL ... support vector machine based on the resulting kernel. In this way, kFOIL implements a dynamic...
  • KLAIM

  • Referenced in 72 articles [sw09424]
  • investigate the issue of designing a kernel programming language for mobile computing and describe KLAIM ... core Linda with multiple tuple spaces and of a set of operators for building processes ... paradigms can be naturally implemented in our kernel language. We also present a prototype implementation...
  • RKHS

  • Referenced in 5 articles [sw03078]
  • using the Lo`eve-Parzen reproducing kernel Hilbert space representation of a stochastic process. This...
  • KPConv

  • Referenced in 4 articles [sw39851]
  • Deformable Convolution for Point Clouds. We present Kernel Point Convolution (KPConv), a new design ... KPConv are located in Euclidean space by kernel points, and applied to the input points ... capacity to use any number of kernel points gives KPConv more flexibility than fixed grid ... convolutions. Furthermore, these locations are continuous in space and can be learned by the network...
  • kLog

  • Referenced in 6 articles [sw10403]
  • Subsequently, a choice of graph kernel defines the feature space. kLog supports mixed numerical...
  • flm

  • Referenced in 3 articles [sw28185]
  • elements of an arbitrary real separable Hilbert space. To select important predictors while also producing ... that these subspaces correspond to Reproducing Kernel Hilbert Spaces, however our methodology applies more broadly...
  • KERE

  • Referenced in 1 article [sw37382]
  • package KERE: Expectile Regression in Reproducing Kernel Hilbert Space. An efficient algorithm inspired by majorization ... regression estimator constructed in a reproducing kernel Hilbert space...
  • kernelTDA

  • Referenced in 1 article [sw41104]
  • Analysis (TDA), more specifically: Persistence Scale Space Kernel; Sliced Wasserstein Kernel; Persistence Fisher Kernel; Geodesic...
  • EasyMKL

  • Referenced in 6 articles [sw32450]
  • average of kernels. In this paper, we propose a time and space efficient MKL algorithm...
  • BOCK

  • Referenced in 5 articles [sw32130]
  • BOCK : Bayesian Optimization with Cylindrical Kernels. A major challenge in Bayesian Optimization is the boundary ... search space. In this paper, we propose BOCK, Bayesian Optimization with Cylindrical Kernels, whose basic...
  • HyperCrypt

  • Referenced in 1 article [sw37368]
  • HyperCrypt: Hypervisor-Based Encryption of Kernel and User Space. We present HyperCrypt, a hypervisor-based ... solution that encrypts the entire kernel and user space to protect against physical attacks...
  • blktrace

  • Referenced in 1 article [sw39881]
  • user space. There are three major components: a kernel component, a utility to record ... trace information for the kernel to user space, and utilities to analyse and view ... blktrace utility extracts event traces from the kernel (via the relaying through the debug file...
  • RKHSMetaMod

  • Referenced in 1 article [sw28872]
  • Optimization Problem based on the Reproducing Kernel Hilbert Spaces (RKHS). The estimated meta model...
  • AutoKeras

  • Referenced in 7 articles [sw33648]
  • kernel and a tree-structured acquisition function optimization algorithm to efficiently explores the search space...