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FLAIRS
2004
13 years 10 months ago
The Optimality of Naive Bayes
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
Harry Zhang
TREC
2004
13 years 10 months ago
Can We Get A Better Retrieval Function From Machine?
The quality of an information retrieval system heavily depends on its retrieval function, which returns a similarity measurement between the query and each document in the collect...
Weiguo Fan, Wensi Xi, Edward A. Fox, Li Wang
COOTS
1997
13 years 10 months ago
MiSFIT: A Tool for Constructing Safe Extensible C++ Systems
The boundary between application and system is becoming increasingly permeable. Extensible applications, such as web browsers, database systems, and operating systems, demonstrate...
Christopher Small
NIPS
1998
13 years 10 months ago
Finite-Sample Convergence Rates for Q-Learning and Indirect Algorithms
In this paper, we address two issues of long-standing interest in the reinforcement learning literature. First, what kinds of performance guarantees can be made for Q-learning aft...
Michael J. Kearns, Satinder P. Singh
RIAO
2000
13 years 10 months ago
Speaker change detection using joint audio-visual statistics
In this paper, we present an approach for speaker change detection in broadcast video using joint audio-visual scene change statistics. Our experiments indicate that using joint a...
Giridharan Iyengar, Chalapathy Neti, Sankar Basu