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» Learning Approximate Consistencies
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182
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LSO
2004
Springer
16 years 10 days ago
Embedding Experiences in Micro-didactical Arrangements
Experience-based Information Systems (EbIS) enable organizations to capture, store and reuse knowledge and experiences for continuous competence development. However, there are sev...
Eric Ras, Stephan Weibelzahl
189
Voted
CVPR
2009
IEEE
17 years 2 months ago
Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
Most modern computer vision systems for high-level tasks, such as image classification, object recognition and segmentation, are based on learning algorithms that are able to se...
Peter V. Gehler, Sebastian Nowozin
159
Voted
COLT
2008
Springer
15 years 8 months ago
How Local Should a Learning Method Be?
We consider the question of why modern machine learning methods like support vector machines outperform earlier nonparametric techniques like kNN. Our approach investigates the lo...
Alon Zakai, Yaacov Ritov
200
Voted
NIPS
2007
15 years 8 months ago
Distributed Inference for Latent Dirichlet Allocation
We investigate the problem of learning a widely-used latent-variable model – the Latent Dirichlet Allocation (LDA) or “topic” model – using distributed computation, where ...
David Newman, Arthur Asuncion, Padhraic Smyth, Max...
224
Voted
ICML
2010
IEEE
15 years 8 months ago
Particle Filtered MCMC-MLE with Connections to Contrastive Divergence
Learning undirected graphical models such as Markov random fields is an important machine learning task with applications in many domains. Since it is usually intractable to learn...
Arthur Asuncion, Qiang Liu, Alexander T. Ihler, Pa...