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IJCNN
2007
IEEE
14 years 3 months ago
Generalised Kernel Machines
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. T...
ALT
2004
Springer
14 years 5 months ago
Relative Loss Bounds and Polynomial-Time Predictions for the k-lms-net Algorithm
We consider a two-layer network algorithm. The first layer consists of an uncountable number of linear units. Each linear unit is an LMS algorithm whose inputs are first “kerne...
Mark Herbster
TC
2010
13 years 7 months ago
Scalable Node-Level Computation Kernels for Parallel Exact Inference
—In this paper, we investigate data parallelism in exact inference with respect to arbitrary junction trees. Exact inference is a key problem in exploring probabilistic graphical...
Yinglong Xia, Viktor K. Prasanna
SODA
2003
ACM
133views Algorithms» more  SODA 2003»
13 years 10 months ago
Integrality ratio for group Steiner trees and directed steiner trees
The natural relaxation for the Group Steiner Tree problem, as well as for its generalization, the Directed Steiner Tree problem, is a flow-based linear programming relaxation. We...
Eran Halperin, Guy Kortsarz, Robert Krauthgamer, A...
ICS
2000
Tsinghua U.
14 years 9 days ago
Using complete system simulation to characterize SPECjvm98 benchmarks
Complete system simulation to understand the influence of architecture and operating systems on application execution has been identified to be crucial for systems design. While t...
Tao Li, Lizy Kurian John, Narayanan Vijaykrishnan,...