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IJBC
2010
132views more  IJBC 2010»
15 years 13 days ago
Construction of Fractal Interpolation Surfaces on Rectangular Grids
We present a general method of generating continuous fractal interpolation surfaces by iterated function systems on an arbitrary data set over rectangular grids and estimate their...
Wolfgang Metzler, Chol Hui Yun
ICML
1996
IEEE
16 years 6 months ago
Learning Evaluation Functions for Large Acyclic Domains
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
Justin A. Boyan, Andrew W. Moore
BMCBI
2006
72views more  BMCBI 2006»
15 years 5 months ago
Selecting effective siRNA sequences by using radial basis function network and decision tree learning
Background: Although short interfering RNA (siRNA) has been widely used for studying gene functions in mammalian cells, its gene silencing efficacy varies markedly and there are o...
Shigeru Takasaki, Yoshihiro Kawamura, Akihiko Kona...
CVPR
2011
IEEE
14 years 9 months ago
Entropy Rate Superpixel Segmentation
We propose a new objective function for superpixel segmentation. This objective function consists of two components: entropy rate of a random walk on a graph and a balancing term....
Ming-Yu Liu, Oncel Tuzel, Srikumar Ramalingam, Ram...
ECAI
2006
Springer
15 years 9 months ago
Patch Learning for Incremental Classifier Design
We present a learning algorithm for nominal data. It builds a classifier by adding iteratively a simple patch function that modifies the current classifier. Its main advantage lies...
Rudy Sicard, Thierry Artières, Eric Petit