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ALMOB
2006
155views more  ALMOB 2006»
13 years 10 months ago
Refining motifs by improving information content scores using neighborhood profile search
The main goal of the motif finding problem is to detect novel, over-represented unknown signals in a set of sequences (e.g. transcription factor binding sites in a genome). The mo...
Chandan K. Reddy, Yao-Chung Weng, Hsiao-Dong Chian...
INFORMS
2000
128views more  INFORMS 2000»
13 years 10 months ago
A Revised Simplex Search Procedure for Stochastic Simulation Response Surface Optimization
We develop a variant of the Nelder-Mead (NM) simplex search procedure for stochastic simulation optimization that is designed to avoid many of the weaknesses encumbering such dire...
David G. Humphrey, James R. Wilson
ICML
2009
IEEE
14 years 11 months ago
Binary action search for learning continuous-action control policies
Reinforcement Learning methods for controlling stochastic processes typically assume a small and discrete action space. While continuous action spaces are quite common in real-wor...
Jason Pazis, Michail G. Lagoudakis
IBERAMIA
2004
Springer
14 years 3 months ago
Statistical Inference in Mapping and Localization for Mobile Robots
In this paper we tackle the problem of providing a mobile robot with the ability to build a map of its environment using data gathered during navigation. The data correspond to the...
Anita Araneda, Alvaro Soto
CP
1995
Springer
14 years 1 months ago
Asynchronous Weak-commitment Search for Solving Distributed Constraint Satisfaction Problems
A distributed constraint satisfaction problem (Distributed CSP) is a CSP in which variables and constraints are distributed among multiple automated agents, and various application...
Makoto Yokoo