798 search results - page 131 / 160 » Perceptual Learning and Abstraction in Machine Learning |
DAGM
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. Approximations based on random Fourier features have recently emerged as an efficient and elegant methodology for designing large-scale kernel machines [4]. By expressing...
ICDM
2009
IEEE
14 years 7 months ago
2009
IEEE
Abstract--Imbalanced data sets present a particular challenge to the data mining community. Often, it is the rare event that is of interest and the cost of misclassifying the rare ...
IPMI
2003
Springer
15 years 10 months ago
2003
Springer
Abstract. In this paper, feature selection methodology from the machine learning literature is applied to the problem of shape-based classification. This methodology discards stati...
84
Voted
RECOMB
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. Sequence to structure alignment is an important step in homology modeling of protein structures. Incorporation of features like secondary structure, solvent accessibility...
ICANN
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. Classification of structured data (i.e., data that are represented as graphs) is a topic of interest in the machine learning community. This paper presents a different,...