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UAI
2004
15 years 6 months ago
Active Model Selection
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
Omid Madani, Daniel J. Lizotte, Russell Greiner
WSC
1997
15 years 6 months ago
Selective Rerouting Using Simulated Steady State System Data
Effective operational control of a manufacturing system that has routing flexibility is dependent upon being able to make informed real-time decisions in the event of a system dis...
Catherine M. Harmonosky, Robert H. Farr, Ming-Chua...
BMCBI
2010
140views more  BMCBI 2010»
15 years 5 months ago
Quantification and deconvolution of asymmetric LC-MS peaks using the bi-Gaussian mixture model and statistical model selection
Background: Liquid chromatography-mass spectrometry (LC-MS) is one of the major techniques for the quantification of metabolites in complex biological samples. Peak modeling is on...
Tianwei Yu, Hesen Peng
CN
2008
117views more  CN 2008»
15 years 5 months ago
Packet-switched network selection with the highest QoS in 4G networks
The evolution of telecommunications during the last decades has been enormous and as a result, nowadays, people find themselves before the challenge of 4G networks. Due to the fac...
Dimitris E. Charilas, Ourania I. Markaki, Dimitris...
150
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ICCV
2011
IEEE
14 years 5 months ago
Informative Feature Selection for Object Recognition via Sparse PCA
Bag-of-words (BoW) methods are a popular class of object recognition methods that use image features (e.g., SIFT) to form visual dictionaries and subsequent histogram vectors to r...
Nikhil Naikal, Allen Y. Yang, S. Shankar Sastry