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» Contention-Sensitive Data Structures and Algorithms
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ICML
2008
IEEE
16 years 7 months ago
Composite kernel learning
The Support Vector Machine (SVM) is an acknowledged powerful tool for building classifiers, but it lacks flexibility, in the sense that the kernel is chosen prior to learning. Mul...
Marie Szafranski, Yves Grandvalet, Alain Rakotomam...
WWW
2005
ACM
16 years 7 months ago
Adaptive page ranking with neural networks
Recent developments in the area of neural networks provided new models which are capable of processing general types of graph structures. Neural networks are well-known for their ...
Franco Scarselli, Sweah Liang Yong, Markus Hagenbu...
SOFSEM
2009
Springer
16 years 3 months ago
Symbolic State-Space Generation of Asynchronous Systems Using Extensible Decision Diagrams
We propose a new type of canonical decision diagrams, which allows a more efficient symbolic state-space generation for general asynchronous systems by allowing on-the-fly extensi...
Min Wan, Gianfranco Ciardo
ICDIM
2007
IEEE
16 years 1 months ago
Pattern-based decision tree construction
Learning classifiers has been studied extensively the last two decades. Recently, various approaches based on patterns (e.g., association rules) that hold within labeled data hav...
Dominique Gay, Nazha Selmaoui, Jean-Françoi...
SCALESPACE
2007
Springer
16 years 27 days ago
A Geometric-Functional-Based Image Segmentation and Inpainting
Abstract. The Mumford-Shah functional minimization, and related algorithms for image segmentation, involve a tradeoff between a twodimensional image structure and one-dimensional ...
Vladimir Kluzner, Gershon Wolansky, Yehoshua Y. Ze...