1419 search results - page 261 / 284 » Approximation Methods for Supervised Learning |
GECCO
2009
Springer
14 years 1 months ago
2009
Springer
Shin et al [19] and McKay et al [15] previously applied tree compression and semantics-based simplification to study the distribution of building blocks in evolving Genetic Progr...
ECML
2006
Springer
14 years 12 days ago
2006
Springer
Recent scaling up of POMDP solvers towards realistic applications is largely due to point-based methods such as PBVI, Perseus, and HSVI, which quickly converge to an approximate so...
RIAO
2007
13 years 10 months ago
2007
According to some current thinking, a very large number of semantic concepts could provide researcher a novel way to characterize video and be utilized for video retrieval and und...
PAMI
2006
13 years 8 months ago
2006
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
Many collective labeling tasks require inference on graphical models where the clique potentials depend only on the number of nodes that get a particular label. We design efficien...