300 search results - page 30 / 60 » Kernels for Generalized Multiple-Instance Learning |
IJON
2007
13 years 8 months ago
2007
We present in this paper a novel approach for shape description based on kernel principal component analysis (KPCA). The strength of this method resides in the similarity (rotatio...
EWRL
2008
13 years 10 months ago
2008
A wide variety of function approximation schemes have been applied to reinforcement learning. However, Bayesian filtering approaches, which have been shown efficient in other field...
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
The problem of identifying the minimal gene set required to sustain life is of crucial importance in understanding cellular mechanisms and designing therapeutic drugs. This work d...
ECML
2005
Springer
14 years 2 months ago
2005
Springer
ABSTRACT. Estimating a non-uniformly sampled function from a set of learning points is a classical regression problem. Kernel methods have been widely used in this context, but eve...
CIKM
2009
Springer
14 years 3 months ago
2009
Springer
Features in many real world applications such as Cheminformatics, Bioinformatics and Information Retrieval have complex internal structure. For example, frequent patterns mined fr...