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SDM
2012
SIAM
294views Data Mining» more  SDM 2012»
13 years 1 days ago
Kernelized Probabilistic Matrix Factorization: Exploiting Graphs and Side Information
We propose a new matrix completion algorithm— Kernelized Probabilistic Matrix Factorization (KPMF), which effectively incorporates external side information into the matrix fac...
Tinghui Zhou, Hanhuai Shan, Arindam Banerjee, Guil...
75
Voted
ICANN
2009
Springer
15 years 4 months ago
Using Kernel Basis with Relevance Vector Machine for Feature Selection
This paper presents an application of multiple kernels like Kernel Basis to the Relevance Vector Machine algorithm. The framework of kernel machines has been a source of many works...
Frederic Suard, David Mercier
EUROPAR
2007
Springer
15 years 3 months ago
Program Behavior Characterization Through Advanced Kernel Recognition
Abstract. Understanding program behavior is at the foundation of program optimization. Techniques for automatic recognition of program constructs (from now on, computational kernel...
Manuel Arenaz, Juan Touriño, Ramon Doallo
NAACL
2010
14 years 7 months ago
Syntactic/Semantic Structures for Textual Entailment Recognition
In this paper, we describe an approach based on off-the-shelf parsers and semantic resources for the Recognizing Textual Entailment (RTE) challenge that can be generally applied t...
Yashar Mehdad, Alessandro Moschitti, Fabio Massimo...
NA
2008
78views more  NA 2008»
14 years 9 months ago
A walk through energy, discrepancy, numerical integration and group invariant measures on measurable subsets of euclidean space
(A) The celebrated Gaussian quadrature formula on finite intervals tells us that the Gauss nodes are the zeros of the unique solution of an extremal problem. We announce recent re...
S. B. Damelin