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» Augmentation of adaptation data
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INTERSPEECH
2010
14 years 11 months ago
Discriminative adaptation based on fast combination of DMAP and dfMLLR
This paper investigates the combination of discriminative adaptation techniques. The discriminative Maximum A-Posteriori (DMAP) adaptation and discriminative feature Maximum Likel...
Lukás Machlica, Zbynek Zajíc, Ludek ...
150
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ICDM
2009
IEEE
199views Data Mining» more  ICDM 2009»
15 years 11 months ago
Active Learning with Adaptive Heterogeneous Ensembles
—One common approach to active learning is to iteratively train a single classifier by choosing data points based on its uncertainty, but it is nontrivial to design uncertainty ...
Zhenyu Lu, Xindong Wu, Josh Bongard
DCOSS
2007
Springer
15 years 10 months ago
An Adaptive Scheduling Protocol for Multi-scale Sensor Network Architecture
In self-organizing networks of battery-powered wireless sensors that can sense, process, and communicate, energy is the most crucial and scarce resource. However, since sensor netw...
Santashil PalChaudhuri, David B. Johnson
ML
2002
ACM
178views Machine Learning» more  ML 2002»
15 years 4 months ago
Metric-Based Methods for Adaptive Model Selection and Regularization
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
Dale Schuurmans, Finnegan Southey
ICDM
2005
IEEE
190views Data Mining» more  ICDM 2005»
15 years 10 months ago
Adaptive Clustering: Obtaining Better Clusters Using Feedback and Past Experience
Adaptive clustering uses external feedback to improve cluster quality; past experience serves to speed up execution time. An adaptive clustering environment is proposed that uses ...
Abraham Bagherjeiran, Christoph F. Eick, Chun-Shen...