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IDA
2007
Springer
15 years 19 days ago
Removing biases in unsupervised learning of sequential patterns
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
Yoav Horman, Gal A. Kaminka
105
Voted
IEEECIT
2006
IEEE
15 years 6 months ago
One Update for all Moving Objects at a Timestamp
Concurrently with fast development of location aware technologies, many applications have been developing to exploit location data for serving people. However, a main challenge in...
Hoang Do Thanh Tung, Keun Ho Ryu
CLEF
2009
Springer
15 years 1 months ago
LogCLEF 2009: The CLEF 2009 Multilingual Logfile Analysis Track Overview
Log data constitute a relevant aspect in the evaluation process of the quality of a search engine and the quality of a multilingual search service; log data can be used to study t...
Thomas Mandl, Maristella Agosti, Giorgio Maria Di ...
100
Voted
INTERSPEECH
2010
14 years 7 months ago
Unsupervised discovery and training of maximally dissimilar cluster models
One of the difficult problems of acoustic modeling for Automatic Speech Recognition (ASR) is how to adequately model the wide variety of acoustic conditions which may be present i...
Françoise Beaufays, Vincent Vanhoucke, Bria...
105
Voted
ICONIP
2010
14 years 11 months ago
Improving Recurrent Neural Network Performance Using Transfer Entropy
Abstract. Reservoir computing approaches have been successfully applied to a variety of tasks. An inherent problem of these approaches, is, however, their variation in performance ...
Oliver Obst, Joschka Boedecker, Minoru Asada