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NC
2006
132views Neural Networks» more  NC 2006»
13 years 9 months ago
Learning short multivariate time series models through evolutionary and sparse matrix computation
Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...
Stephen Swift, Joost N. Kok, Xiaohui Liu
KBS
2007
56views more  KBS 2007»
13 years 9 months ago
Domain-dependent distributed models for railway scheduling
Many combinatorial problems can be modelled as Constraint Satisfaction Problems (CSPs). Solving a general CSP is known to be NP-complete, so closure and heuristic search are usual...
Miguel A. Salido, Montserrat Abril, Federico Barbe...
JAIR
2006
157views more  JAIR 2006»
13 years 9 months ago
Decision-Theoretic Planning with non-Markovian Rewards
A decision process in which rewards depend on history rather than merely on the current state is called a decision process with non-Markovian rewards (NMRDP). In decisiontheoretic...
Sylvie Thiébaux, Charles Gretton, John K. S...
BMCBI
2007
107views more  BMCBI 2007»
13 years 9 months ago
OReFiL: an online resource finder for life sciences
Background: Many online resources for the life sciences have been developed and introduced in peer-reviewed papers recently, ranging from databases and web applications to data-an...
Yasunori Yamamoto, Toshihisa Takagi
GECCO
2008
Springer
163views Optimization» more  GECCO 2008»
13 years 10 months ago
Embedded evolutionary multi-objective optimization for worst case robustness
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...
Gideon Avigad, Jürgen Branke