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168
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JMLR
2008
230views more  JMLR 2008»
15 years 3 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
139
Voted
JMLR
2008
129views more  JMLR 2008»
15 years 3 months ago
Finite-Time Bounds for Fitted Value Iteration
In this paper we develop a theoretical analysis of the performance of sampling-based fitted value iteration (FVI) to solve infinite state-space, discounted-reward Markovian decisi...
Rémi Munos, Csaba Szepesvári
110
Voted
ECCC
2007
122views more  ECCC 2007»
15 years 3 months ago
Infeasibility of Instance Compression and Succinct PCPs for NP
The OR-SAT problem asks, given Boolean formulae φ1, . . . , φm each of size at most n, whether at least one of the φi’s is satisfiable. We show that there is no reduction fr...
Lance Fortnow, Rahul Santhanam
137
Voted
JMLR
2006
132views more  JMLR 2006»
15 years 3 months ago
Learning to Detect and Classify Malicious Executables in the Wild
We describe the use of machine learning and data mining to detect and classify malicious executables as they appear in the wild. We gathered 1,971 benign and 1,651 malicious execu...
Jeremy Z. Kolter, Marcus A. Maloof
145
Voted
PERCOM
2006
ACM
15 years 3 months ago
Incorporating Wireless Technology into Virtual Organizations Supporting the Work of Healthcare Teams
This study investigates how a virtual organization can be built in a distributed computing environment which includes wireless technology to support the work of a multi-disciplina...
Mohyuddin, W. A. Gray, David Morrey, Wendy Jones