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JAIR
2006
138views more  JAIR 2006»
15 years 6 months ago
Logical Hidden Markov Models
Logical hidden Markov models (LOHMMs) upgrade traditional hidden Markov models to deal with sequences of structured symbols in the form of logical atoms, rather than flat characte...
Kristian Kersting, Luc De Raedt, Tapani Raiko
ICML
2004
IEEE
16 years 7 months ago
Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model
Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. There are...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
IJCNN
2007
IEEE
16 years 1 months ago
Philosophical Aspects of Neural, Probabilistic and Fuzzy Modeling of Language Use and Translation
— Serious efforts to develop computerized systems for natural language understanding and machine translation have taken place for more than half a century. Some successful system...
Timo Honkela
FSTTCS
2007
Springer
16 years 29 days ago
Order Scheduling Models: Hardness and Algorithms
We consider scheduling problems in which a job consists of components of different types to be processed on m machines. Each machine is capable of processing components of a singl...
Naveen Garg, Amit Kumar, Vinayaka Pandit
FGR
2002
IEEE
141views Biometrics» more  FGR 2002»
15 years 11 months ago
Consistency and Coupling in Human Model Likelihoods
This paper presents two novel likelihood terms for silhouettes and contours in model-based contexts. Despite the power of such formulations, building likelihoods that truly refle...
Cristian Sminchisescu