58 search results - page 8 / 12 » Some Properties of the Gaussian Kernel for One Class Learnin... |
LATA
2010
Springer
14 years 2 months ago
2010
Springer
Abstract. Learnability is a vital property of formal grammars: representation classes should be defined in such a way that they are learnable. One way to build learnable represent...
INTERSPEECH
2010
13 years 2 months ago
2010
Current speech recognition systems are often based on HMMs with state-clustered Gaussian Mixture Models (GMMs) to represent the context dependent output distributions. Though high...
ALT
2007
Springer
14 years 4 months ago
2007
Springer
In this paper we consider learnability in some special numberings, such as Friedberg numberings, which contain all the recursively enumerable languages, but have simpler grammar e...
BMCBI
2007
13 years 7 months ago
2007
Background: Predicting a protein’s structural class from its amino acid sequence is a fundamental problem in computational biology. Much recent work has focused on developing ne...
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
This paper investigates a class of learning problems called learning satisfiability (LSAT) problems, where the goal is to learn a set in the input (feature) space that satisfies...