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» Application profiling on Cell-based clusters
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CASES
2006
ACM
13 years 11 months ago
Efficient architectures through application clustering and architectural heterogeneity
Customizing architectures for particular applications is a promising approach to yield highly energy-efficient designs for embedded systems. This work explores the benefits of arc...
Lukasz Strozek, David Brooks
ECML
2006
Springer
13 years 11 months ago
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Corneliu Henegar, Karine Clément, Jean-Dani...
KDD
2005
ACM
119views Data Mining» more  KDD 2005»
14 years 29 days ago
LIPED: HMM-based life profiles for adaptive event detection
In this paper, the proposed LIPED (LIfe Profile based Event Detection) employs the concept of life profiles to predict the activeness of event for effective event detection. A gro...
Chien Chin Chen, Meng Chang Chen, Ming-Syan Chen
TKDE
2010
229views more  TKDE 2010»
13 years 5 months ago
Deriving Concept-Based User Profiles from Search Engine Logs
—User profiling is a fundamental component of any personalization applications. Most existing user profiling strategies are based on objects that users are interested in (i.e., p...
Kenneth Wai-Ting Leung, Dik Lun Lee
BMCBI
2010
104views more  BMCBI 2010»
13 years 2 months ago
A systematic study of genome context methods: calibration, normalization and combination
Background: Genome context methods have been introduced in the last decade as automatic methods to predict functional relatedness between genes in a target genome using the patter...
Luciana Ferrer, Joseph M. Dale, Peter D. Karp