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KDD
2006
ACM
141views Data Mining» more  KDD 2006»
16 years 7 months ago
Statistical entity-topic models
The primary purpose of news articles is to convey information about who, what, when and where. But learning and summarizing these relationships for collections of thousands to mil...
David Newman, Chaitanya Chemudugunta, Padhraic Smy...
RECOMB
2003
Springer
16 years 7 months ago
Maximum entropy modeling of short sequence motifs with applications to RNA splicing signals
We propose a framework for modeling sequence motifs based on the maximum entropy principle (MEP). We recommend approximating short sequence motif distributions with the maximum en...
Gene W. Yeo, Christopher B. Burge
ISBI
2009
IEEE
16 years 1 months ago
Instance-Based Generative Biological Shape Modeling
Biological shape modeling is an essential task that is required for systems biology efforts to simulate complex cell behaviors. Statistical learning methods have been used to buil...
Tao Peng, Wei Wang, Gustavo K. Rohde, Robert F. Mu...
DSD
2007
IEEE
116views Hardware» more  DSD 2007»
16 years 1 months ago
Evaluating the Model Accuracy in Automated Design Space Exploration
Design space exploration is used to shorten the design time of System-on-Chips (SoCs). The models used in the exploration need to be both accurate and fast to simulate. This paper...
Kalle Holma, Mikko Setälä, Erno Salminen...
GECCO
2005
Springer
200views Optimization» more  GECCO 2005»
16 years 7 days ago
An extension of vose's markov chain model for genetic algorithms
The paper presents an extension of Vose’s Markov chain model for genetic algorithm (GA). The model contains not only standard genetic operators such as mutation and crossover bu...
Anna Paszynska