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» Predicting relative performance of classifiers from samples
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AAAI
2000
13 years 9 months ago
Restricted Bayes Optimal Classifiers
We introduce the notion of restricted Bayes optimal classifiers. These classifiers attempt to combine the flexibility of the generative approach to classification with the high ac...
Simon Tong, Daphne Koller
GLOBECOM
2009
IEEE
13 years 11 months ago
Restarting Particle Filters: An Approach to Improve the Performance of Dynamic Indoor Localization
Particle filters have been found to be effective in tracking mobile targets in indoor environments. One frequently encountered problem in these settings occurs when the target'...
Begumhan Turgut, Richard P. Martin
CIDM
2007
IEEE
14 years 2 months ago
A Prototype-driven Framework for Change Detection in Data Stream Classification
This paper presents a prototype-driven framework for classifying evolving data streams. Our framework uses cluster prototypes to summarize the data and to determine whether the cur...
Hamed Valizadegan, Pang-Ning Tan
BMCBI
2010
103views more  BMCBI 2010»
13 years 7 months ago
Predicting the protein-protein interactions using primary structures with predicted protein surface
Background: Many biological functions involve various protein-protein interactions (PPIs). Elucidating such interactions is crucial for understanding general principles of cellula...
Darby Tien-Hao Chang, Yu-Tang Syu, Po-Chang Lin
VLDB
2000
ACM
155views Database» more  VLDB 2000»
13 years 11 months ago
ICICLES: Self-Tuning Samples for Approximate Query Answering
Approximate query answering systems provide very fast alternatives to OLAP systems when applications are tolerant to small errors in query answers. Current sampling-based approach...
Venkatesh Ganti, Mong-Li Lee, Raghu Ramakrishnan