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» Using Machine Learning to Focus Iterative Optimization
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124
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ATMOS
2007
177views Optimization» more  ATMOS 2007»
15 years 4 months ago
Approximate dynamic programming for rail operations
Abstract. Approximate dynamic programming offers a new modeling and algorithmic strategy for complex problems such as rail operations. Problems in rail operations are often modeled...
Warren B. Powell, Belgacem Bouzaïene-Ayari
165
Voted
AAAI
2008
15 years 5 months ago
RADAR: A Personal Assistant that Learns to Reduce Email Overload
Email client software is widely used for personal task management, a purpose for which it was not designed and is poorly suited. Past attempts to remedy the problem have focused o...
Michael Freed, Jaime G. Carbonell, Geoffrey J. Gor...
121
Voted
BMCBI
2008
143views more  BMCBI 2008»
15 years 2 months ago
Automatic detection of exonic splicing enhancers (ESEs) using SVMs
Background: Exonic splicing enhancers (ESEs) activate nearby splice sites and promote the inclusion (vs. exclusion) of exons in which they reside, while being a binding site for S...
Britta Mersch, Alexander Gepperth, Sándor S...
128
Voted
SIGMOD
2000
ACM
99views Database» more  SIGMOD 2000»
15 years 7 months ago
WSQ/DSQ: A Practical Approach for Combined Querying of Databases and the Web
We present WSQ/DSQ (pronounced “wisk-disk”), a new approach for combining the query facilities of traditional databases with existing search engines on the Web. WSQ, for Web-S...
Roy Goldman, Jennifer Widom
147
Voted
PRL
2008
198views more  PRL 2008»
15 years 2 months ago
Pose estimation and tracking using multivariate regression
This paper presents an extension of the relevance vector machine (RVM) algorithm to multivariate regression. This allows the application to the task of estimating the pose of an a...
Arasanathan Thayananthan, Ramanan Navaratnam, Bj&o...