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» Learning Distance Functions using Equivalence Relations
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ECML
2004
Springer
14 years 1 months ago
Efficient Hyperkernel Learning Using Second-Order Cone Programming
The kernel function plays a central role in kernel methods. Most existing methods can only adapt the kernel parameters or the kernel matrix based on empirical data. Recently, Ong e...
Ivor W. Tsang, James T. Kwok
ICML
2003
IEEE
14 years 10 months ago
Using Linear-threshold Algorithms to Combine Multi-class Sub-experts
We present a new type of multi-class learning algorithm called a linear-max algorithm. Linearmax algorithms learn with a special type of attribute called a sub-expert. A sub-exper...
Chris Mesterharm
BIB
2008
74views more  BIB 2008»
13 years 9 months ago
The relative value of operon predictions
For most organisms, computational operon predictions are the only source of genome-wide operon information. Operon prediction methods described in literature are based on (a combi...
Rutger W. W. Brouwer, Oscar P. Kuipers, Sacha A. F...
JFP
2000
163views more  JFP 2000»
13 years 9 months ago
Automatic useless-code elimination for HOT functional programs
In this paper we present two type inference systems for detecting useless-code in higher-order typed functional programs. Type inference can be performed in an efficient and compl...
Ferruccio Damiani, Paola Giannini
CSL
1999
Springer
14 years 2 months ago
Pre-logical Relations
Abstract. We study a weakening of the notion of logical relations, called prelogical relations, that has many of the features that make logical relations so useful but having furth...
Furio Honsell, Donald Sannella