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AAAI
2007
14 years 6 days ago
Kernel Regression with Order Preferences
We propose a novel kernel regression algorithm which takes into account order preferences on unlabeled data. Such preferences have the form that point x1 has a larger target value...
Xiaojin Zhu, Andrew B. Goldberg
CLA
2007
13 years 11 months ago
Policies Generalization in Reinforcement Learning using Galois Partitions Lattices
The generalization of policies in reinforcement learning is a main issue, both from the theoretical model point of view and for their applicability. However, generalizing from a se...
Marc Ricordeau, Michel Liquiere
SDM
2003
SIAM
125views Data Mining» more  SDM 2003»
13 years 11 months ago
Scalable, Balanced Model-based Clustering
This paper presents a general framework for adapting any generative (model-based) clustering algorithm to provide balanced solutions, i.e., clusters of comparable sizes. Partition...
Shi Zhong, Joydeep Ghosh
CN
2007
102views more  CN 2007»
13 years 10 months ago
The "Global-ISP" paradigm
We present a new paradigm, called “Global ISP” (G-ISP). Its goal is to solve, or at least alleviate, problems of inter-domain routing, such as slow convergence, and lack of Qo...
Reuven Cohen, Amnon Shochot
SIAMCO
2000
138views more  SIAMCO 2000»
13 years 9 months ago
Adaptive Image Reconstruction Using Information Measures
We present a class of nonlinear adaptive image restoration filters which may be steered to preserve sharp edges and contrasts in the restorations. From a theoretical point of view ...
Ulrike Hermann, Dominikus Noll