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» The Kernel Least-Mean-Square Algorithm
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ICDM
2003
IEEE
135views Data Mining» more  ICDM 2003»
15 years 3 months ago
An Algorithm for the Exact Computation of the Centroid of Higher Dimensional Polyhedra and its Application to Kernel Machines
The Support Vector Machine (SVM) solution corresponds to the centre of the largest sphere inscribed in version space. Alternative approaches like Bayesian Point Machines (BPM) and...
Frédéric Maire
GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
15 years 3 months ago
Kernel based automatic clustering using modified particle swarm optimization algorithm
This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
Ajith Abraham, Swagatam Das, Amit Konar
MICRO
2010
IEEE
149views Hardware» more  MICRO 2010»
14 years 7 months ago
Improving SIMT Efficiency of Global Rendering Algorithms with Architectural Support for Dynamic Micro-Kernels
Wide Single Instruction, Multiple Thread (SIMT) architectures often require a static allocation of thread groups that are executed in lockstep throughout the entire application ker...
Michael Steffen, Joseph Zambreno
65
Voted
NIPS
2003
14 years 11 months ago
Prediction on Spike Data Using Kernel Algorithms
We report and compare the performance of different learning algorithms based on data from cortical recordings. The task is to predict the orientation of visual stimuli from the ac...
Jan Eichhorn, Andreas S. Tolias, Alexander Zien, M...
88
Voted
JCSS
2010
114views more  JCSS 2010»
14 years 8 months ago
FPT algorithms and kernels for the Directed k-Leaf problem
A subgraph T of a digraph D is an out-branching if T is an oriented spanning tree with only one vertex of in-degree zero (called the root). The vertices of T of out-degree zero ar...
Jean Daligault, Gregory Gutin, Eun Jung Kim, Ander...