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» Induction of Stable Models
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ICML
2005
IEEE
14 years 8 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...
SCESM
2006
ACM
269views Algorithms» more  SCESM 2006»
14 years 1 months ago
Inferring operational requirements from scenarios and goal models using inductive learning
Goal orientation is an increasingly recognised Requirements Engineering paradigm. However, integration of goal modelling with operational models remains an open area for which the...
Dalal Alrajeh, Alessandra Russo, Sebastián ...
ILP
2004
Springer
14 years 29 days ago
Modelling Inhibition in Metabolic Pathways Through Abduction and Induction
Abstract. In this paper, we study how a logical form of scientific modelling that integrates together abduction and induction can be used to understand the functional class of unk...
Alireza Tamaddoni-Nezhad, Antonis C. Kakas, Stephe...
SODA
2008
ACM
88views Algorithms» more  SODA 2008»
13 years 9 months ago
Sampling stable marriages: why spouse-swapping won't work
We study the behavior of random walks along the edges of the stable marriage lattice for various restricted families of allowable preference sets. In the "k-attribute model,&...
Nayantara Bhatnagar, Sam Greenberg, Dana Randall
NIPS
2008
13 years 9 months ago
Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction
We explore a new Bayesian model for probabilistic grammars, a family of distributions over discrete structures that includes hidden Markov models and probabilistic context-free gr...
Shay B. Cohen, Kevin Gimpel, Noah A. Smith