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» Evaluating algorithms that learn from data streams
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AAAI
1990
15 years 8 months ago
A Proven Domain-Independent Scientific Function-Finding Algorithm
Programs such as Bacon, Abacus, Coper, Kepler and others are designed to find functional relationships of scientific significance in numerical data without relying on the deep dom...
Cullen Schaffer
FLAIRS
2008
15 years 9 months ago
Learning in the Lexical-Grammatical Interface
Children are facile at both discovering word boundaries and using those words to build higher-level structures in tandem. Current research treats lexical acquisition and grammar i...
Tom Armstrong, Tim Oates
MLMI
2005
Springer
16 years 10 days ago
Can Chimeric Persons Be Used in Multimodal Biometric Authentication Experiments?
Combining multiple information sources, typically from several data streams is a very promising approach, both in experiments and to some extents in various real-life applications....
Norman Poh, Samy Bengio
SIGIR
2002
ACM
15 years 6 months ago
Document clustering with committees
Document clustering is useful in many information retrieval tasks: document browsing, organization and viewing of retrieval results, generation of Yahoo-like hierarchies of docume...
Patrick Pantel, Dekang Lin
WWW
2004
ACM
16 years 7 months ago
Mining models of human activities from the web
The ability to determine what day-to-day activity (such as cooking pasta, taking a pill, or watching a video) a person is performing is of interest in many application domains. A ...
Mike Perkowitz, Matthai Philipose, Kenneth P. Fish...