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PKDD
2009
Springer
148views Data Mining» more  PKDD 2009»
14 years 4 months ago
Feature Selection by Transfer Learning with Linear Regularized Models
Abstract. This paper presents a novel feature selection method for classification of high dimensional data, such as those produced by microarrays. It includes a partial supervisio...
Thibault Helleputte, Pierre Dupont
TAMC
2009
Springer
14 years 4 months ago
Best-Order Streaming Model
We study a new model of computation called stream checking on graph problems where a space-limited verifier has to verify a proof sequentially (i.e., it reads the proof as a strea...
Atish Das Sarma, Richard J. Lipton, Danupon Nanong...
CEC
2010
IEEE
13 years 5 months ago
Parameter estimation with term-wise decomposition in biochemical network GMA models by hybrid regularized Least Squares-Particle
High-throughput analytical techniques such as nuclear magnetic resonance, protein kinase phosphorylation, and mass spectroscopic methods generate time dense profiles of metabolites...
Prospero C. Naval, Luis G. Sison, Eduardo R. Mendo...
ICML
2005
IEEE
14 years 10 months ago
Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields
We present a directed Markov random field (MRF) model that combines n-gram models, probabilistic context free grammars (PCFGs) and probabilistic latent semantic analysis (PLSA) fo...
Shaojun Wang, Shaomin Wang, Russell Greiner, Dale ...
PROCEDIA
2010
80views more  PROCEDIA 2010»
13 years 8 months ago
Visualising spins and clusters in regular and small-world Ising models with GPUs
Visualising computational simulation models of solid state physical systems is a hard problem for dense lattice models. Fly throughs and cutaways can aid viewer understanding of a...
Arno Leist, Daniel P. Playne, Kenneth A. Hawick