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ICASSP
2011
IEEE
12 years 11 months ago
Learning and inference algorithms for partially observed structured switching vector autoregressive models
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Balakrishnan Varadarajan, Sanjeev Khudanpur
KBSE
2005
IEEE
14 years 1 months ago
Properties and scopes in web model checking
We consider a formal framework for property verification of web applications using Spin model checker. Some of the web related properties concern all states of the model, while ot...
May Haydar, Sergiy Boroday, Alexandre Petrenko, Ho...
ICASSP
2009
IEEE
14 years 2 months ago
Exploiting user feedback for language model adaptation in meeting recognition
We investigate language model (LM) adaptation in a meeting recognition application, where the LM is adapted based on recognition output from relevant prior meetings and partial ma...
Dimitra Vergyri, Andreas Stolcke, Gökhan T&uu...
ICML
2005
IEEE
14 years 8 months ago
Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
Xiaojin Zhu, John D. Lafferty
NIPS
2004
13 years 9 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