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» Improved thresholds for rank minimization
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CIKM
2009
Springer
16 years 16 days 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
16 years 7 days 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»
15 years 5 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»
16 years 14 hour 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»
15 years 21 days 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