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NIPS
2008
15 years 7 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
SDL
2007
171views Hardware» more  SDL 2007»
15 years 7 months ago
Model Driven Development and Code Generation: An Automotive Case Study
Describing an application as a simple composition of services allows advanced features that exploit different platforms to be conceived e formalized at a high abstraction level. S...
Michele Banci, Alessandro Fantechi, Stefania Gnesi...
ACL
2004
15 years 7 months ago
Applying Machine Learning to Chinese Temporal Relation Resolution
Temporal relation resolution involves extraction of temporal information explicitly or implicitly embedded in a language. This information is often inferred from a variety of inte...
Wenjie Li, Kam-Fai Wong, Guihong Cao, Chunfa Yuan
FLAIRS
2006
15 years 7 months ago
An Empirical Exploration of Hidden Markov Models: From Spelling Recognition to Speech Recognition
Hidden Markov models play a critical role in the modelling and problem solving of important AI tasks such as speech recognition and natural language processing. However, the stude...
Shieu-Hong Lin
MBUI
2004
104views User Interface» more  MBUI 2004»
15 years 7 months ago
An EUD Approach for Making MBUI Practical
In this paper, we present our perspective on Model-Based User Interfaces (hereafter MBUI) paradigm and provide with our experience in this area combining high-level knowledge-base...
José A. Macías, Pablo Castells