3718 search results - page 164 / 744 » On learning with dissimilarity functions |
KDD
2006
ACM
15 years 10 months ago
2006
ACM
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
79
Voted
BMCBI
2006
14 years 10 months ago
2006
Background: Methods for predicting protein function directly from amino acid sequences are useful tools in the study of uncharacterised protein families and in comparative genomic...
78
Voted
ICPR
2000
IEEE
15 years 11 months ago
2000
IEEE
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
NIPS
1998
14 years 11 months ago
1998
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
BMCBI
2007
14 years 10 months ago
2007
Background: Structural genomics initiatives are producing increasing numbers of threedimensional (3D) structures for which there is little functional information. Structure-based ...