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JMLR
2010
123views more  JMLR 2010»
13 years 2 months ago
Inductive Principles for Restricted Boltzmann Machine Learning
Recent research has seen the proposal of several new inductive principles designed specifically to avoid the problems associated with maximum likelihood learning in models with in...
Benjamin Marlin, Kevin Swersky, Bo Chen, Nando de ...
WABI
2001
Springer
142views Bioinformatics» more  WABI 2001»
14 years 14 days ago
Pattern Matching and Pattern Discovery Algorithms for Protein Topologies
We describe algorithms for pattern matching and pattern learning in TOPS diagrams (formal descriptions of protein topologies). These problems can be reduced to checking for subgrap...
Juris Viksna, David Gilbert
RECOMB
2010
Springer
14 years 2 months ago
Dense Subgraphs with Restrictions and Applications to Gene Annotation Graphs
Abstract. In this paper, we focus on finding complex annotation patterns representing novel and interesting hypotheses from gene annotation data. We define a generalization of th...
Barna Saha, Allison Hoch, Samir Khuller, Louiqa Ra...
STACS
1992
Springer
14 years 3 days ago
Speeding Up Two String-Matching Algorithms
We show how to speed up two string-matching algorithms: the Boyer-Moore algorithm (BM algorithm), and its version called here the reverse factor algorithm (RF algorithm). The RF al...
Maxime Crochemore, Thierry Lecroq, Artur Czumaj, L...
ICDAR
2003
IEEE
14 years 1 months ago
Improvement of Matching and Evaluation in Handwritten Numeral Recognition Using Flexible Standard Patterns
The purpose of this study is to develop a flexible matching method for recognizing handwritten numerals based on the statistics of shapes and structures learned from learning sam...
Hirokazu Muramatsu, Takashi Kobayashi, Takahiro Su...