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INTERSPEECH
2010
15 years 1 months ago
Online adaptive learning for speech recognition decoding
We describe a new method for pruning in dynamic models based on running an adaptive filtering algorithm online during decoding to predict aspects of the scores in the near future....
Jeff Bilmes, Hui Lin
DIS
2006
Springer
15 years 10 months ago
Kalman Filters and Adaptive Windows for Learning in Data Streams
We study the combination of Kalman filter and a recently proposed algorithm for dynamically maintaining a sliding window, for learning from streams of examples. We integrate this i...
Albert Bifet, Ricard Gavaldà
ICDM
2005
IEEE
185views Data Mining» more  ICDM 2005»
15 years 12 months ago
Adaptive Product Normalization: Using Online Learning for Record Linkage in Comparison Shopping
The problem of record linkage focuses on determining whether two object descriptions refer to the same underlying entity. Addressing this problem effectively has many practical ap...
Mikhail Bilenko, Sugato Basu, Mehran Sahami
ICDAR
2009
IEEE
16 years 1 months ago
Learning and Adaptation for Improving Handwritten Character Recognizers
Writer independent handwriting recognition systems are limited in their accuracy, primarily due the large variations in writing styles of most characters. Samples from a single ch...
Naveen Chandra Tewari, Anoop M. Namboodiri
ICDM
2006
IEEE
138views Data Mining» more  ICDM 2006»
16 years 10 days ago
Adaptive Blocking: Learning to Scale Up Record Linkage
Many information integration tasks require computing similarity between pairs of objects. Pairwise similarity computations are particularly important in record linkage systems, as...
Mikhail Bilenko, Beena Kamath, Raymond J. Mooney