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» Approximate algorithms for neural-Bayesian approaches
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JAIR
2008
120views more  JAIR 2008»
14 years 9 months ago
Anytime Induction of Low-cost, Low-error Classifiers: a Sampling-based Approach
Machine learning techniques are gaining prevalence in the production of a wide range of classifiers for complex real-world applications with nonuniform testing and misclassificati...
Saher Esmeir, Shaul Markovitch
JIIS
2006
147views more  JIIS 2006»
14 years 9 months ago
Mining sequential patterns from data streams: a centroid approach
In recent years, emerging applications introduced new constraints for data mining methods. These constraints are typical of a new kind of data: the data streams. In data stream pro...
Alice Marascu, Florent Masseglia
NIPS
2008
14 years 11 months ago
Bayesian Experimental Design of Magnetic Resonance Imaging Sequences
We show how improved sequences for magnetic resonance imaging can be found through optimization of Bayesian design scores. Combining approximate Bayesian inference and natural ima...
Matthias W. Seeger, Hannes Nickisch, Rolf Pohmann,...
NIPS
2004
14 years 11 months ago
Face Detection - Efficient and Rank Deficient
This paper proposes a method for computing fast approximations to support vector decision functions in the field of object detection. In the present approach we are building on an...
Wolf Kienzle, Gökhan H. Bakir, Matthias O. Fr...
APPROX
2004
Springer
119views Algorithms» more  APPROX 2004»
15 years 3 months ago
Cost-Sharing Mechanisms for Network Design
We consider a single-source network design problem from a game-theoretic perspective. Gupta, Kumar and Roughgarden (Proc. 35th Annual ACM STOC, pages 365–372, 2003) developed a ...
Anupam Gupta, Aravind Srinivasan, Éva Tardo...