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» Reinforcement Learning with the Use of Costly Features
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RIVF
2008
13 years 8 months ago
Simple but effective methods for combining kernels in computational biology
Complex biological data generated from various experiments are stored in diverse data types in multiple datasets. By appropriately representing each biological dataset as a kernel ...
Hiroaki Tanabe, Tu Bao Ho, Canh Hao Nguyen, Saori ...
ICDE
2012
IEEE
304views Database» more  ICDE 2012»
11 years 9 months ago
Learning-based Query Performance Modeling and Prediction
— Accurate query performance prediction (QPP) is central to effective resource management, query optimization and query scheduling. Analytical cost models, used in current genera...
Mert Akdere, Ugur Çetintemel, Matteo Rionda...
USS
2010
13 years 4 months ago
P4P: Practical Large-Scale Privacy-Preserving Distributed Computation Robust against Malicious Users
In this paper we introduce a framework for privacypreserving distributed computation that is practical for many real-world applications. The framework is called Peers for Privacy ...
Yitao Duan, NetEase Youdao, John Canny, Justin Z. ...
BMCBI
2010
160views more  BMCBI 2010»
13 years 7 months ago
Annotation of gene promoters by integrative data-mining of ChIP-seq Pol-II enrichment data
Background: Use of alternative gene promoters that drive widespread cell-type, tissue-type or developmental gene regulation in mammalian genomes is a common phenomenon. Chromatin ...
Ravi Gupta, Priyankara Wikramasinghe, Anirban Bhat...
CIKM
2011
Springer
12 years 7 months ago
Exploiting longer cycles for link prediction in signed networks
We consider the problem of link prediction in signed networks. Such networks arise on the web in a variety of ways when users can implicitly or explicitly tag their relationship w...
Kai-Yang Chiang, Nagarajan Natarajan, Ambuj Tewari...