476 search results - page 31 / 96 » Learning a Distance Metric from Relative Comparisons |
ICMLA
2010
13 years 7 months ago
2010
Markov Logic Networks (MLNs) combine Markov Networks and first-order logic by attaching weights to firstorder formulas and viewing them as templates for features of Markov Networks...
CORR
2011
Springer
13 years 4 months ago
2011
Springer
Abstract. Most instruments - formalisms, concepts, and metrics for social networks analysis fail to capture their dynamics. Typical systems exhibit different scales of dynamics, ra...
BIRTHDAY
2010
Springer
14 years 11 days ago
2010
Springer
The present paper analyzes the usefulness of the normalized compression distance for the problem to cluster the hemagglutinin (HA) sequences of influenza virus data for the HA gene...
SIGIR
1999
ACM
14 years 1 months ago
1999
ACM
There has been much recent interest in retrieval of time series data. Earlier work has used a fixed similarity metric (e.g., Euclidean distance) to determine the similarity betwee...
NIPS
2008
13 years 10 months ago
2008
The cluster assumption is exploited by most semi-supervised learning (SSL) methods. However, if the unlabeled data is merely weakly related to the target classes, it becomes quest...