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ICML
2005
IEEE
16 years 7 months ago
Reducing overfitting in process model induction
In this paper, we review the paradigm of inductive process modeling, which uses background knowledge about possible component processes to construct quantitative models of dynamic...
Will Bridewell, Narges Bani Asadi, Pat Langley, Lj...
ENTCS
2010
127views more  ENTCS 2010»
15 years 6 months ago
Combining Model Reductions
Molecular biological models usually suffer from a large combinatorial explosion. Indeed, proteins form complexes and modify each others, which leads to the formation of a huge num...
Ferdinanda Camporesi, Jérôme Feret, H...
CORR
2010
Springer
169views Education» more  CORR 2010»
15 years 1 months ago
Recommender Systems by means of Information Retrieval
In this paper we present a method for reformulating the Recommender Systems problem in an Information Retrieval one. In our tests we have a dataset of users who give ratings for s...
Alberto Costa, Fabio Roda
BIRTHDAY
2003
Springer
15 years 12 months ago
Extreme Model Checking
One of the central axioms of extreme programming is the disciplined use of regression testing during stepwise software development. Due to recent progress in software model checkin...
Thomas A. Henzinger, Ranjit Jhala, Rupak Majumdar,...
ICCD
2006
IEEE
115views Hardware» more  ICCD 2006»
16 years 3 months ago
Long-term Performance Bottleneck Analysis and Prediction
— Identifying performance bottlenecks is important for microarchitects and application developers to produce high performance microprocessor designs and application software. Man...
Fei Gao, Suleyman Sair