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» Large Scale Multiple Kernel Learning
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95
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ML
1998
ACM
101views Machine Learning» more  ML 1998»
15 years 2 days ago
Elevator Group Control Using Multiple Reinforcement Learning Agents
Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...
Robert H. Crites, Andrew G. Barto
121
Voted
ICMLA
2010
14 years 10 months ago
Boosting Multi-Task Weak Learners with Applications to Textual and Social Data
Abstract--Learning multiple related tasks from data simultaneously can improve predictive performance relative to learning these tasks independently. In this paper we propose a nov...
Jean Baptiste Faddoul, Boris Chidlovskii, Fabien T...
106
Voted
KDD
2008
ACM
178views Data Mining» more  KDD 2008»
16 years 24 days ago
Training structural svms with kernels using sampled cuts
Discriminative training for structured outputs has found increasing applications in areas such as natural language processing, bioinformatics, information retrieval, and computer ...
Chun-Nam John Yu, Thorsten Joachims
ICDAR
2009
IEEE
15 years 7 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
107
Voted
RTSS
2003
IEEE
15 years 5 months ago
Power-aware QoS Management in Web Servers
Power management in data centers has become an increasingly important concern. Large server installations are designed to handle peak load, which may be significantly larger than...
Vivek Sharma, Arun Thomas, Tarek F. Abdelzaher, Ke...