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» Evaluating algorithms that learn from data streams
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CIMCA
2005
IEEE
16 years 4 days ago
Statistical Learning Procedure in Loopy Belief Propagation for Probabilistic Image Processing
We give a fast and practical algorithm for statistical learning hyperparameters from observable data in probabilistic image processing, which is based on Gaussian graphical model ...
Kazuyuki Tanaka
LREC
2010
180views Education» more  LREC 2010»
15 years 8 months ago
A Comprehensive Resource to Evaluate Complex Open Domain Question Answering
We describe two corpora of question and answer pairs collected for complex, open-domain Question Answering (QA) to enable answer classification and re-ranking experiments. We deli...
Silvia Quarteroni, Alessandro Moschitti
FLAIRS
2004
15 years 8 months ago
Case-Based Bayesian Network Classifiers
We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
Eugene Santos, Ahmed Huessin
GECCO
2006
Springer
138views Optimization» more  GECCO 2006»
15 years 10 months ago
Does overfitting affect performance in estimation of distribution algorithms
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
Hao Wu, Jonathan L. Shapiro
ISI
2006
Springer
15 years 6 months ago
Collective Sampling and Analysis of High Order Tensors for Chatroom Communications
This work investigates the accuracy and efficiency tradeoffs between centralized and collective (distributed) algorithms for (i) sampling, and (ii) n-way data analysis techniques i...
Evrim Acar, Seyit Ahmet Çamtepe, Bülen...