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AAAI
2010
13 years 9 months ago
Reinforcement Learning Via Practice and Critique Advice
We consider the problem of incorporating end-user advice into reinforcement learning (RL). In our setting, the learner alternates between practicing, where learning is based on ac...
Kshitij Judah, Saikat Roy, Alan Fern, Thomas G. Di...
ICML
2007
IEEE
14 years 8 months ago
Information-theoretic metric learning
In this paper, we present an information-theoretic approach to learning a Mahalanobis distance function. We formulate the problem as that of minimizing the differential relative e...
Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit ...
GFKL
2007
Springer
163views Data Mining» more  GFKL 2007»
13 years 11 months ago
Fast Support Vector Machine Classification of Very Large Datasets
In many classification applications, Support Vector Machines (SVMs) have proven to be highly performing and easy to handle classifiers with very good generalization abilities. Howe...
Janis Fehr, Karina Zapien Arreola, Hans Burkhardt
ATC
2009
Springer
13 years 11 months ago
SAConf: Semantic Attestation of Software Configurations
Remote attestation is one of the key functionalities provided by trusted platforms. Most current attestation approaches are based on cryptographic hash functions, which are appropr...
Hua Wang, Yao Guo, Xiangqun Chen
IFIP
2005
Springer
14 years 1 months ago
Numerical Approximation of a Control Problem for Advection-Diffusion Processes
Two different approaches are proposed to enhance the efficiency of the numerical resolution of optimal control problems governed by a linear advection– diffusion equation. In ...
Alfio Quarteroni, Gianluigi Rozza, L. Dedè,...