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NIPS
2004
15 years 1 months ago
Co-Validation: Using Model Disagreement on Unlabeled Data to Validate Classification Algorithms
In the context of binary classification, we define disagreement as a measure of how often two independently-trained models differ in their classification of unlabeled data. We exp...
Omid Madani, David M. Pennock, Gary William Flake
77
Voted
CORR
2010
Springer
149views Education» more  CORR 2010»
14 years 11 months ago
A probabilistic and RIPless theory of compressed sensing
This paper introduces a simple and very general theory of compressive sensing. In this theory, the sensing mechanism simply selects sensing vectors independently at random from a ...
Emmanuel J. Candès, Yaniv Plan
SAC
2010
ACM
15 years 6 months ago
Adaptive fuzzy-valued service selection
Service composition concerns both integration of heterogeneous distributed applications and dynamic selection of services. QoS-aware selection enables a service requester with cer...
Davide Bacciu, Maria Grazia Buscemi, Lusine Mkrtch...
PRL
2007
138views more  PRL 2007»
14 years 11 months ago
Ent-Boost: Boosting using entropy measures for robust object detection
Recently, boosting has come to be used widely in object-detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifier...
Duy-Dinh Le, Shin'ichi Satoh
IPPS
2006
IEEE
15 years 5 months ago
Performance Analysis of the Reactor Pattern in Network Services
The growing reliance on services provided by software applications places a high premium on the reliable and efficient operation of these applications. A number of these applicat...
Swapna S. Gokhale, Aniruddha S. Gokhale, Jeffrey G...