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» The complexity of stochastic sequences
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ML
2000
ACM
103views Machine Learning» more  ML 2000»
14 years 11 months ago
Nonparametric Time Series Prediction Through Adaptive Model Selection
We consider the problem of one-step ahead prediction for time series generated by an underlying stationary stochastic process obeying the condition of absolute regularity, describi...
Ron Meir
ICONIP
2009
14 years 9 months ago
Quasi-Deterministic Partially Observable Markov Decision Processes
We study a subclass of POMDPs, called quasi-deterministic POMDPs (QDET-POMDPs), characterized by deterministic actions and stochastic observations. While this framework does not mo...
Camille Besse, Brahim Chaib-draa
JCB
2007
83views more  JCB 2007»
14 years 11 months ago
Evolutionary Networks in the Formatted Protein Sequence Space
In our recent work, a new approach to establish sequence relatedness, by walking through the protein sequence space, was introduced. The sequence space is built from 20 amino acid...
Zakharia M. Frenkel, Edward N. Trifonov
ECCV
2006
Springer
16 years 1 months ago
Aligning Sequences and Actions by Maximizing Space-Time Correlations
Abstract. We introduced an algorithm for sequence alignment, based on maximizing local space-time correlations. Our algorithm aligns sequences of the same action performed at diffe...
Yaron Ukrainitz, Michal Irani
ACSD
2008
IEEE
130views Hardware» more  ACSD 2008»
15 years 6 months ago
BAM: BioAmbient machine
In recent years it has become clear that techniques developed for concurrent programming are in fact very useful for the analysis of complex systems in biology. To some level of i...
Vinod A. Muganthan, Andrew Phillips, Maria Grazia ...