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ICML
2007
IEEE
16 years 2 months ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
COLT
2006
Springer
15 years 5 months ago
Online Learning with Variable Stage Duration
We consider online learning in repeated decision problems, within the framework of a repeated game against an arbitrary opponent. For repeated matrix games, well known results esta...
Shie Mannor, Nahum Shimkin
132
Voted
NAACL
2004
15 years 3 months ago
Paraphrasing Predicates from Written Language to Spoken Language Using the Web
There are a lot of differences between expressions used in written language and spoken language. It is one of the reasons why speech synthesis applications are prone to produce un...
Nobuhiro Kaji, Masashi Okamoto, Sadao Kurohashi
124
Voted
TCAD
2010
103views more  TCAD 2010»
14 years 8 months ago
Supervised Learning Based Power Management for Multicore Processors
- This paper presents a supervised learning based power management framework for a multi-processor system, where a power manager (PM) learns to predict the system performance state...
Hwisung Jung, Massoud Pedram
117
Voted
EDM
2008
141views Data Mining» more  EDM 2008»
15 years 3 months ago
An Open Repository and analysis tools for fine-grained, longitudinal learner data
We introduce an open data repository and set of associated visualization and analysis tools. The Pittsburgh Science of Learning Center's "DataShop" has data from tho...
Kenneth R. Koedinger, Kyle Cunningham, Alida Skogs...