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...
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...
The boundary between application and system is becoming increasingly permeable. Extensible applications, such as web browsers, database systems, and operating systems, demonstrate...
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...
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...