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HYBRID
2007
Springer
13 years 11 months ago
Robust, Optimal Predictive Control of Jump Markov Linear Systems Using Particles
Hybrid discrete-continuous models, such as Jump Markov Linear Systems, are convenient tools for representing many real-world systems; in the case of fault detection, discrete jumps...
Lars Blackmore, Askar Bektassov, Masahiro Ono, Bri...
ICRA
2007
IEEE
129views Robotics» more  ICRA 2007»
13 years 11 months ago
Robust Distributed Coverage using a Swarm of Miniature Robots
Abstract— For the multi-robot coverage problem deterministic deliberative as well as probabilistic approaches have been proposed. Whereas deterministic approaches usually provide...
Nikolaus Correll, Alcherio Martinoli
BMCBI
2004
208views more  BMCBI 2004»
13 years 5 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
CORR
2010
Springer
112views Education» more  CORR 2010»
13 years 2 months ago
Optimal Distributed Online Prediction using Mini-Batches
Online prediction methods are typically presented as serial algorithms running on a single processor. However, in the age of web-scale prediction problems, it is increasingly comm...
Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin X...
IPPS
2000
IEEE
13 years 9 months ago
Controlling Distributed Shared Memory Consistency from High Level Programming Languages
One of the keys for the success of parallel processing is the availability of high-level programming languages for on-the-shelf parallel architectures. Using explicit message passi...
Yvon Jégou