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ICASSP
2011
IEEE
14 years 10 months ago
A study of an irrelevant variability normalization based discriminative training approach for LVCSR
This paper presents a discriminative training (DT) approach to irrelevant variability normalization (IVN) based training of feature transforms and hidden Markov models for large v...
Yu Zhang, Jian Xu, Zhi-Jie Yan, Qiang Huo
ACL
2011
14 years 10 months ago
Gappy Phrasal Alignment By Agreement
We propose a principled and efficient phraseto-phrase alignment model, useful in machine translation as well as other related natural language processing problems. In a hidden se...
Mohit Bansal, Chris Quirk, Robert C. Moore
ATAL
2009
Springer
16 years 1 months ago
Generalized model learning for reinforcement learning in factored domains
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
Todd Hester, Peter Stone
EDM
2010
248views Data Mining» more  EDM 2010»
15 years 8 months ago
Analyzing Learning Styles using Behavioral Indicators in Web based Learning Environments
It is argued that the analysis of the learner's generated log files during interactions with a learning environment is necessary to produce interpretative views of their activ...
Nabila Bousbia, Jean-Marc Labat, Amar Balla, Issam...
FUIN
2008
108views more  FUIN 2008»
15 years 5 months ago
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
Wannes Meert, Jan Struyf, Hendrik Blockeel