Subword-based Approaches for Spoken Document Retrieval (2000)

by Kenney Ng
Citations:55 - 0 self

Active Bibliography

9 Time Series Learning with Probabilistic Network Composites – William Henry Hsu - 1998
1 Divide and Conquer: Pattern Recognition using Mixtures of Experts – Steve Waterhouse, Steve Waterhouse - 1997
74 Support vector machines for speech recognition – Aravind Ganapathiraju, Jonathan Hamaker, Joseph Picone - 1998
8 Finding Consensus in Speech Recognition – Lidia Luminita Mangu - 2000
46 A Maximum Likelihood Ratio Information Retrieval Model – Kenney Ng - 1999
10 Online Handwriting Recognition Using Multiple Pattern Class Models – Scott D. Connell - 2000
35 Risk Minimization and Language Modeling in Text Retrieval – ChengXiang Zhai - 2002
170 Hidden Markov processes – Yariv Ephraim, Neri Merhav - 2002
5 Performance and efficiency: Recent advances in supervised learning – Sheng Ma, Chuanyi Ji - 1999
114 Machine-Learning Research -- Four Current Directions – Thomas G. Dietterich
1 USING AUXILIARY SOURCES OF KNOWLEDGE FOR AUTOMATIC SPEECH RECOGNITION – Mathew Magimai Doss - 2005
2 Unsupervised Learning of Cell Activities in the Associative Cortex of Behaving Monkeys, Using Hidden Markov Models – Itay Gat, Naftali Tishby, Moshe Abeles - 1994
7 Learnable Similarity Functions and Their Applications to Clustering and Record Linkage – Mikhail Bilenko - 2004
for many inspiring discussions and personal time. – Alexander Strehl, Alexander Strehl M. S. E, Prof Inderjit, S. Dhillon, Prof Raymond, J. Mooney, Prof S, Andrea V. Clark, Matthias Dietze, Carly J. Ellard, Gunjan K. Gupta, Heinz Hertlein, Thomas Jensen, Thomas Kovats, Bernhard Schneider, Ricardo Signorelli
Information Retrieval and Information Theory – Adam Berger, Jaime Carbonell, Daniel Sleator
3 Estimation of Statistical Translation Models Based on Mutual Information for Ad Hoc Information Retrieval – Maryam Karimzadehgan, ChengXiang Zhai - 2010
Informing Multisource Decoding in Robust Automatic Speech Recognition – Ning Ma - 2008
Making an Effective Use of . . . – Rong Zhang - 2007
18 Augmented Statistical Models for Classifying Sequence Data – Martin Layton - 2006