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» The Foundations of Cost-Sensitive Learning
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ICCAD
2010
IEEE
156views Hardware» more  ICCAD 2010»
13 years 5 months ago
Boolean matching of function vectors with strengthened learning
Boolean matching for multiple-output functions determines whether two given (in)completely-specified function vectors can be identical to each other under permutation and/or negat...
Chih-Fan Lai, Jie-Hong R. Jiang, Kuo-Hua Wang
ESOP
2011
Springer
12 years 11 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...
FECS
2007
184views Education» more  FECS 2007»
13 years 9 months ago
Collaboratory: An Open Source Teaching and Learning Facility for Computer Science and Engineering Education
In this paper we present an innovative prototype Open Source Teaching/Learning Collaboratory created at UC Merced that will provide the foundation for offering the vast majority of...
Jeff Wright, Stefano Carpin, Alberto Cerpa, German...
CDC
2010
IEEE
106views Control Systems» more  CDC 2010»
13 years 2 months ago
Optimal cross-layer wireless control policies using TD learning
We present an on-line crosslayer control technique to characterize and approximate optimal policies for wireless networks. Our approach combines network utility maximization and ad...
Sean P. Meyn, Wei Chen, Daniel O'Neill
IV
2005
IEEE
142views Visualization» more  IV 2005»
14 years 1 months ago
Beyond Guidelines: What Can We Learn from the Visual Information Seeking Mantra?
The field of information visualization offers little methodological guidance to practitioners who seek to design novel systems. Though many sources describe the foundations of the...
Brock Craft, Paul A. Cairns