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» A distributed machine learning framework
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AIMSA
2006
Springer
15 years 6 months ago
Machine Learning for Spoken Dialogue Management: An Experiment with Speech-Based Database Querying
Although speech and language processing techniques achieved a relative maturity during the last decade, designing a spoken dialogue system is still a tailoring task because of the ...
Olivier Pietquin
152
Voted
MICCAI
2007
Springer
16 years 3 months ago
Active-Contour-Based Image Segmentation Using Machine Learning Techniques
Abstract. We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a c...
Patrick Etyngier, Florent Ségonne, Renaud K...
COLT
2008
Springer
15 years 4 months ago
Polynomial Regression under Arbitrary Product Distributions
In recent work, Kalai, Klivans, Mansour, and Servedio [KKMS05] studied a variant of the "Low-Degree (Fourier) Algorithm" for learning under the uniform probability distr...
Eric Blais, Ryan O'Donnell, Karl Wimmer
118
Voted
CLEF
2010
Springer
15 years 3 months ago
Wikipedia Vandalism Detection Through Machine Learning: Feature Review and New Proposals - Lab Report for PAN at CLEF 2010
Wikipedia is an online encyclopedia that anyone can edit. In this open model, some people edits with the intent of harming the integrity of Wikipedia. This is known as vandalism. W...
Santiago Moisés Mola-Velasco
112
Voted
COLT
2003
Springer
15 years 7 months ago
Learning Random Log-Depth Decision Trees under the Uniform Distribution
We consider three natural models of random logarithmic depth decision trees over Boolean variables. We give an efficient algorithm that for each of these models learns all but an ...
Jeffrey C. Jackson, Rocco A. Servedio