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2007
136views Robotics» more  RSS 2007»
15 years 3 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. ...
BMCBI
2004
208views more  BMCBI 2004»
15 years 1 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
INTERNET
2008
150views more  INTERNET 2008»
15 years 1 months ago
RPC and REST: Dilemma, Disruption, and Displacement
straction and explained how the Representational State Transfer (REST) architectural style is one alternative that can yield a superior approach to building distributed systems. Be...
Steve Vinoski
RECOMB
2004
Springer
16 years 2 months ago
Modeling and Analysis of Heterogeneous Regulation in Biological Networks
Abstract. In this study we propose a novel model for the representation of biological networks and provide algorithms for learning model parameters from experimental data. Our appr...
Irit Gat-Viks, Amos Tanay, Ron Shamir
170
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ABIALS
2008
Springer
15 years 3 months ago
Multiscale Anticipatory Behavior by Hierarchical Reinforcement Learning
Abstract. In order to establish autonomous behavior for technical systems, the well known trade-off between reactive control and deliberative planning has to be considered. Within ...
Matthias Rungger, Hao Ding, Olaf Stursberg