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Finding effective low dimensional features from empirical co-occurrence data is one of the most fundamental problems in machine learning and complex data analysis. One principled approach to this problem is to represent the data in low dimension with ...
Planning is a key area in Artificial Intelligence. In its general form, planning is concerned with the automatic synthesis of action strategies (plans) from a description of actions, sensors, and goals. Planning thus contrasts with two other approaches ...
This paper outlines the achievements made in the area of small expert systems, in particular the use of multiple Fuzzy Neural Networks (FuNN) within a single application implemented on a PDA. Also discussed is the opportunity for using the architecture ...
The MVP-CA tool clusters a knowledge base into related rule sets thus allowing the user to comprehend the knowledge base in terms of conceptually meaningful clusters of rules. The tool is eventually meant to aid knowledge engineers and subject matter ...
<i>UTTSExam</i> is a university examination timetable-scheduling program that was successfully employed to create the examination timetable for semester 1 of the 2001/2002 academic year in the National University of Singapore. This demonstration ...
SpeechWeb consists of a collection of hyperlinked natural-language interfaces to applications which can be accessed through the Internet from speech browsers running on PCs. The applications contain hyperlinks which the browser uses to navigate ...
Temporal difference algorithms are useful when attempting to predict outcome based on some pattern, such as a vector of evaluation parameters applied to the leaf nodes of a state space search. As time progresses, the vector begins to converge towards an ...