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» Improved thresholds for rank minimization
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CIKM
2009
Springer
14 years 2 months ago
Learning to rank from Bayesian decision inference
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
Jen-Wei Kuo, Pu-Jen Cheng, Hsin-Min Wang
RTAS
2007
IEEE
14 years 1 months ago
Preemption Threshold Scheduling: Stack Optimality, Enhancements and Analysis
Using preemption threshold scheduling (PTS) in a multi-threaded real-time embedded system reduces system preemptions and hence reduces run-time overhead while still ensuring real-...
Rony Ghattas, Alexander G. Dean
BMCBI
2005
178views more  BMCBI 2005»
13 years 7 months ago
A quantization method based on threshold optimization for microarray short time series
Background: Reconstructing regulatory networks from gene expression profiles is a challenging problem of functional genomics. In microarray studies the number of samples is often ...
Barbara Di Camillo, Fatima Sanchez-Cabo, Gianna To...
ICDE
2006
IEEE
128views Database» more  ICDE 2006»
14 years 1 months ago
Searching and Ranking Documents based on Semantic Relationships
Just as the link structure of the web is a critical component in today's web search, complex relationships (i.e., the different ways the dots are connected) will be an import...
Boanerges Aleman-Meza
TASLP
2010
82views more  TASLP 2010»
13 years 2 months ago
Psychoacoustically Constrained and Distortion Minimized Speech Enhancement
Abstract--This paper considers a psychoacoustically constrained and distortion minimized speech enhancement algorithm. Noise reduction, in general, leads to speech distortion, and ...
Seokhwan Jo, Chang D. Yoo