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KDD
2002
ACM
147views Data Mining» more  KDD 2002»
16 years 7 months ago
Sequential cost-sensitive decision making with reinforcement learning
Recently, there has been increasing interest in the issues of cost-sensitive learning and decision making in a variety of applications of data mining. A number of approaches have ...
Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny
HPCA
2002
IEEE
16 years 7 months ago
Using Complete Machine Simulation for Software Power Estimation: The SoftWatt Approach
Power dissipation has become one of the most critical factors for the continued development of both high-end and low-end computer systems. The successful design and evaluation of ...
Sudhanva Gurumurthi, Anand Sivasubramaniam, Mary J...
CHI
2004
ACM
16 years 7 months ago
Automatic support for web user studies with SCONE and TEA
This paper describes the concepts of TEA, a flexible tool that supports user tests by automating repetitive tasks and collecting data of user inputs and actions. TEA was specifica...
Hartmut Obendorf, Harald Weinreich, Torsten Hass
POPL
2007
ACM
16 years 7 months ago
Variance analyses from invariance analyses
An invariance assertion for a program location is a statement that always holds at during execution of the program. Program invariance analyses infer invariance assertions that ca...
Josh Berdine, Aziem Chawdhary, Byron Cook, Dino Di...
RECOMB
2004
Springer
16 years 7 months ago
A random graph approach to NMR sequential assignment
Nuclear magnetic resonance (NMR) spectroscopy allows scientists to study protein structure, dynamics and interactions in solution. A necessary first step for such applications is ...
Chris Bailey-Kellogg, Sheetal Chainraj, Gopal Pand...
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