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JMLR
2006
134views more  JMLR 2006»
15 years 6 months ago
Considering Cost Asymmetry in Learning Classifiers
Receiver Operating Characteristic (ROC) curves are a standard way to display the performance of a set of binary classifiers for all feasible ratios of the costs associated with fa...
Francis R. Bach, David Heckerman, Eric Horvitz
ICML
1998
IEEE
16 years 7 months ago
An Efficient Boosting Algorithm for Combining Preferences
We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences aris...
Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yora...
PDP
2009
IEEE
16 years 1 months ago
Task-Parallel versus Data-Parallel Library-Based Programming in Multicore Systems
—Multicore machines are becoming common. There are many languages, language extensions and libraries devoted to improve the programmability and performance of these machines. In ...
Diego Andrade, Basilio B. Fraguela, James C. Brodm...
CORR
2000
Springer
92views Education» more  CORR 2000»
15 years 6 months ago
Predicting the expected behavior of agents that learn about agents: the CLRI framework
We describe a framework and equations used to model and predict the behavior of multi-agent systems (MASs) with learning agents. A difference equation is used for calculating the ...
José M. Vidal, Edmund H. Durfee
DAC
1994
ACM
15 years 10 months ago
Automatic Verification of Pipelined Microprocessors
Abstract - We address the problem of automatically verifying large digital designs at the logic level, against high-level specifications. In this paper, we present a methodology wh...
Vishal Bhagwati, Srinivas Devadas