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161
Voted
ECAI
2004
Springer
15 years 7 months ago
Learning Complex and Sparse Events in Long Sequences
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Marco Botta, Ugo Galassi, Attilio Giordana
ECAI
2004
Springer
15 years 7 months ago
Boosting Systematic Search by Weighting Constraints
In this paper, we present a dynamic and adaptive variable ordering heuristic which guides systematic search toward inconsistent or hard parts of a Constraint Satisfaction Problem (...
Frédéric Boussemart, Fred Hemery, Ch...
145
Voted
ECAI
2004
Springer
15 years 6 months ago
Avoiding Data Overfitting in Scientific Discovery: Experiments in Functional Genomics
Functional genomics is a typical scientific discovery domain characterized by a very large number of attributes (genes) relative to the number of examples (observations). The dang...
Dragan Gamberger, Nada Lavrac
ECAI
2004
Springer
15 years 7 months ago
Exploiting Association and Correlation Rules - Parameters for Improving the K2 Algorithm
A Bayesian network is an appropriate tool to deal with the uncertainty that is typical of real-life applications. Bayesian network arcs represent statistical dependence between dif...
Evelina Lamma, Fabrizio Riguzzi, Sergio Storari
ECAI
2004
Springer
15 years 6 months ago
Encoding Quantified CSPs as Quantified Boolean Formulae
Quantified Constraint Satisfaction Problems (QCSPs) are CSPs in which some variables are universally quantified. For each possible value of such variables, we have to find ways to ...
Ian P. Gent, Peter Nightingale, Andrew G. D. Rowle...
Artificial Intelligence
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