2934 search results - page 299 / 587 » Hypothesis Spaces for Learning |
204
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ICML
2007
IEEE
16 years 8 months ago
2007
IEEE
Neighbor search is a fundamental task in machine learning, especially in classification and retrieval. Efficient nearest neighbor search methods have been widely studied, with the...
294
Voted
ICML
2004
IEEE
16 years 8 months ago
2004
IEEE
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
195
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EVOW
2009
Springer
16 years 2 months ago
2009
Springer
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
186
Voted
FUZZIEEE
2007
IEEE
16 years 1 months ago
2007
IEEE
— The application of Qualitative Reasoning to Learning Algorithms can provide these models with the capability of automate common-sense and expert reasoning. Learning algorithms ...
189
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ICMI
2004
Springer
16 years 24 days ago
2004
Springer
This paper reports on an NSF-funded effort now underway to integrate three learning technologies that have emerged and matured over the past decade; each has presented compelling ...