Sciweavers

12943 search results - page 10 / 2589
» Predicting When Not to Predict
Sort
View
IJCAI
2003
13 years 9 months ago
When Discriminative Learning of Bayesian Network Parameters Is Easy
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
Hannes Wettig, Peter Grünwald, Teemu Roos, Pe...
AI
2010
Springer
13 years 7 months ago
When is it better not to look ahead?
In situations where one needs to make a sequence of decisions, it is often believed that looking ahead will help produce better decisions. However, it was shown 30 years ago that ...
Dana S. Nau, Mitja Lustrek, Austin Parker, Ivan Br...
GROUP
2010
ACM
13 years 5 months ago
Why it works (when it works): success factors in online creative collaboration
Online creative collaboration (peer production) has enabled the creation of Wikipedia and open source software (OSS), and is rapidly expanding to encompass new domains, such as vi...
Kurt Luther, Kelly E. Caine, Kevin Ziegler, Amy Br...
CORR
2010
Springer
95views Education» more  CORR 2010»
13 years 5 months ago
When are feedforward microcircuits well-modeled by maximum entropy methods?
Describing the collective activity of neural populations is a daunting task: the number of possible patterns grows exponentially with the number of cells, resulting in practically...
Andrea K. Barreiro, Julijana Gjorgjieva, Fred Riek...
ICTAI
2005
IEEE
14 years 1 months ago
Prediction of the Stock Exchange of Thailand Using Adaptive Evolution Strategies
In this paper we present a prediction process of the Stock Exchange of Thailand index using adaptive evolution strategies. The prediction process does not require the knowledge of...
Sunisa Rimcharoen, Daricha Sutivong, Prabhas Chong...