Sciweavers

1216 search results - page 99 / 244
» Predicting relative performance of classifiers from samples
Sort
View
147
Voted
NIPS
2001
15 years 4 months ago
Sequential Noise Compensation by Sequential Monte Carlo Method
We present a sequential Monte Carlo method applied to additive noise compensation for robust speech recognition in time-varying noise. The method generates a set of samples accord...
K. Yao, S. Nakamura
ESANN
2006
15 years 4 months ago
Margin based Active Learning for LVQ Networks
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
Frank-Michael Schleif, Barbara Hammer, Thomas Vill...
SDM
2007
SIAM
177views Data Mining» more  SDM 2007»
15 years 4 months ago
Multi-way Clustering on Relation Graphs
A number of real-world domains such as social networks and e-commerce involve heterogeneous data that describes relations between multiple classes of entities. Understanding the n...
Arindam Banerjee, Sugato Basu, Srujana Merugu
AAMAS
2005
Springer
15 years 3 months ago
Learning and Exploiting Relative Weaknesses of Opponent Agents
Agents in a competitive interaction can greatly benefit from adapting to a particular adversary, rather than using the same general strategy against all opponents. One method of s...
Shaul Markovitch, Ronit Reger
WWW
2011
ACM
14 years 10 months ago
Information credibility on twitter
We analyze the information credibility of news propagated through Twitter, a popular microblogging service. Previous research has shown that most of the messages posted on Twitter...
Carlos Castillo, Marcelo Mendoza, Barbara Poblete