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JMLR
2010
107views more  JMLR 2010»
14 years 4 months ago
Learning Instance-Specific Predictive Models
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
Shyam Visweswaran, Gregory F. Cooper
SIGIR
2006
ACM
15 years 3 months ago
On-line spam filter fusion
We show that a set of independently developed spam filters may be combined in simple ways to provide substantially better filtering than any of the individual filters. The resu...
Thomas R. Lynam, Gordon V. Cormack, David R. Cheri...
ICRA
2007
IEEE
199views Robotics» more  ICRA 2007»
15 years 3 months ago
Automatic Outlier Detection: A Bayesian Approach
— In order to achieve reliable autonomous control in advanced robotic systems like entertainment robots, assistive robots, humanoid robots and autonomous vehicles, sensory data n...
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
KDD
2003
ACM
205views Data Mining» more  KDD 2003»
15 years 10 months ago
The data mining approach to automated software testing
In today's industry, the design of software tests is mostly based on the testers' expertise, while test automation tools are limited to execution of pre-planned tests on...
Mark Last, Menahem Friedman, Abraham Kandel
CGO
2007
IEEE
15 years 3 months ago
Microarchitecture Sensitive Empirical Models for Compiler Optimizations
This paper proposes the use of empirical modeling techniques for building microarchitecture sensitive models for compiler optimizations. The models we build relate program perform...
Kapil Vaswani, Matthew J. Thazhuthaveetil, Y. N. S...