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BMCBI
2011
14 years 10 months ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
BMCBI
2008
111views more  BMCBI 2008»
15 years 6 months ago
Comparative optimism in models involving both classical clinical and gene expression information
Background: In cancer research, most clinical variables have already been investigated and are now well established. The use of transcriptomic variables has raised two problems: r...
Caroline Truntzer, Delphine Maucort-Boulch, Pascal...
SAT
2009
Springer
91views Hardware» more  SAT 2009»
16 years 1 months ago
VARSAT: Integrating Novel Probabilistic Inference Techniques with DPLL Search
Probabilistic inference techniques can be used to estimate variable bias, or the proportion of solutions to a given SAT problem that fix a variable positively or negatively. Metho...
Eric I. Hsu, Sheila A. McIlraith
SAT
2004
Springer
106views Hardware» more  SAT 2004»
15 years 12 months ago
Local Search with Bootstrapping
We propose and study a technique to improve the performance of those local-search SAT solvers that proceed by executing a prespecified number of tries, each starting with an eleme...
Lengning Liu, Miroslaw Truszczynski
ICRA
2002
IEEE
108views Robotics» more  ICRA 2002»
15 years 11 months ago
Real-Time Obstacle Avoidance for Polygonal Robots with a Reduced Dynamic Window
In this paper we present an approach to obstacle avoidance and local path planning for polygonal robots. It decomposes the task into a model stage and a planning stage. The model ...
Kai Oliver Arras, Jan Persson, Nicola Tomatis, Rol...