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EMMCVPR
2001
Springer
15 years 8 months ago
Designing the Minimal Structure of Hidden Markov Model by Bisimulation
Hidden Markov Models (HMMs) are an useful and widely utilized approach to the modeling of data sequences. One of the problems related to this technique is finding the optimal stru...
Manuele Bicego, Agostino Dovier, Vittorio Murino
WSC
2008
15 years 6 months ago
A simulation model to analyze the impact of hole size on putting in golf
We develop a model of golfer putting skill and combine it with physics-based putt trajectory and holeout models to study the impact of doubling the radius of the hole on the putti...
Matulya Bansal, Mark Broadie
NIPS
2004
15 years 5 months ago
Conditional Models of Identity Uncertainty with Application to Noun Coreference
Coreference analysis, also known as record linkage or identity uncertainty, is a difficult and important problem in natural language processing, databases, citation matching and m...
Andrew McCallum, Ben Wellner
NAACL
2010
15 years 2 months ago
Model Combination for Machine Translation
Machine translation benefits from two types of decoding techniques: consensus decoding over multiple hypotheses under a single model and system combination over hypotheses from di...
John DeNero, Shankar Kumar, Ciprian Chelba, Franz ...
JMLR
2011
148views more  JMLR 2011»
14 years 11 months ago
Bayesian Generalized Kernel Mixed Models
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...
Zhihua Zhang, Guang Dai, Michael I. Jordan