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ML
2008
ACM
128views Machine Learning» more  ML 2008»
13 years 7 months ago
QG/GA: a stochastic search for Progol
Most search techniques within ILP require the evaluation of a large number of inconsistent clauses. However, acceptable clauses typically need to be consistent, and are only found ...
Stephen Muggleton, Alireza Tamaddoni-Nezhad
TOG
2010
117views more  TOG 2010»
13 years 2 months ago
Animation wrinkling: augmenting coarse cloth simulations with realistic-looking wrinkles
Moving garments and other cloth objects exhibit dynamic, complex wrinkles. Generating such wrinkles in a virtual environment currently requires either a time-consuming manual desi...
Damien Rohmer, Tiberiu Popa, Marie-Paule Cani, Ste...
BMCBI
2010
103views more  BMCBI 2010»
13 years 7 months ago
A method of predicting changes in human gene splicing induced by genetic variants in context of cis-acting elements
Background: Polymorphic variants and mutations disrupting canonical splicing isoforms are among the leading causes of human hereditary disorders. While there is a substantial evid...
Alexander G. Churbanov, Igor Vorechovsky, Chindo H...
RECOMB
2009
Springer
14 years 8 months ago
An Online Approach for Mining Collective Behaviors from Molecular Dynamics Simulations
Collective behavior involving distally separate regions in a protein is known to widely affect its function. In this paper, we present an online approach to study and characterize ...
Arvind Ramanathan, Pratul K. Agarwal, Maria Kurnik...
NIPS
2008
13 years 8 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink