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ESANN
2007
15 years 2 months ago
Kernel PCA based clustering for inducing features in text categorization
We study dimensionality reduction or feature selection in text document categorization problem. We focus on the first step in building text categorization systems, that is the cho...
Zsolt Minier, Lehel Csató
104
Voted
AAAI
2006
15 years 2 months ago
kFOIL: Learning Simple Relational Kernels
A novel and simple combination of inductive logic programming with kernel methods is presented. The kFOIL algorithm integrates the well-known inductive logic programming system FO...
Niels Landwehr, Andrea Passerini, Luc De Raedt, Pa...
118
Voted
TNN
2008
129views more  TNN 2008»
15 years 15 days ago
Data Visualization and Dimensionality Reduction Using Kernel Maps With a Reference Point
In this paper, a new kernel-based method for data visualization and dimensionality reduction is proposed. A reference point is considered corresponding to additional constraints ta...
Johan A. K. Suykens
78
Voted
NIPS
2001
15 years 2 months ago
A kernel method for multi-labelled classification
This article presents a Support Vector Machine (SVM) like learning system to handle multi-label problems. Such problems are usually decomposed into many two-class problems but the...
André Elisseeff, Jason Weston
ICMCS
1994
IEEE
110views Multimedia» more  ICMCS 1994»
15 years 4 months ago
Improving Continuous-Media Playback Performance with In-Kernel Data Paths
Continuous media playback suffers when a station's operating system offers insufficient 1/0 throughput. Conventional 1/0 system structures support a memory-oriented read and ...
Kevin R. Fall, Joseph Pasquale