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2007
136views Robotics» more  RSS 2007»
13 years 9 months ago
The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty
— We present a new motion planning framework that explicitly considers uncertainty in robot motion to maximize the probability of avoiding collisions and successfully reaching a ...
Ron Alterovitz, Thierry Siméon, Kenneth Y. ...
IROS
2006
IEEE
168views Robotics» more  IROS 2006»
14 years 1 months ago
Scanning the Environment with Two Independent Cameras - Biologically Motivated Approach
— In this paper we present a novel method for visual scanning and target tracking by means of independent pan-tilt cameras which mimic the chameleon visual system. We present a s...
Ofir Avni, Francesco Borrelli, Gadi Katzir, Ehud R...
CSB
2004
IEEE
208views Bioinformatics» more  CSB 2004»
13 years 11 months ago
Pair Stochastic Tree Adjoining Grammars for Aligning and Predicting Pseudoknot RNA Structures
Motivation: Since the whole genome sequences for many species are currently available, computational predictions of RNA secondary structures and computational identifications of t...
Hiroshi Matsui, Kengo Sato, Yasubumi Sakakibara
ATAL
2006
Springer
13 years 11 months ago
Solving POMDPs using quadratically constrained linear programs
Developing scalable algorithms for solving partially observable Markov decision processes (POMDPs) is an important challenge. One promising approach is based on representing POMDP...
Christopher Amato, Daniel S. Bernstein, Shlomo Zil...
BMCBI
2002
108views more  BMCBI 2002»
13 years 7 months ago
A memory-efficient dynamic programming algorithm for optimal alignment of a sequence to an RNA secondary structure
Background: Covariance models (CMs) are probabilistic models of RNA secondary structure, analogous to profile hidden Markov models of linear sequence. The dynamic programming algo...
Sean R. Eddy