966 search results - page 16 / 194 » A Two-Level Learning Method for Generalized Multi-instance P... |
AI
1998
Springer
15 years 1 months ago
1998
Springer
During past few years, a variety of methods have been developed for learning probabilistic networks from data, among which the heuristic single link forward or backward searches ar...
GECCO
2007
Springer
15 years 3 months ago
2007
Springer
Genetic Programming uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees. ...
ICASSP
2009
IEEE
15 years 4 months ago
2009
IEEE
Diffusion Maps (DiffMaps) has recently provided a general framework that unites many other spectral manifold learning algorithms, including Laplacian Eigenmaps, and it has become ...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
Eigenvalue problems are rampant in machine learning and statistics and appear in the context of classification, dimensionality reduction, etc. In this paper, we consider a cardina...