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NIPS
1996
14 years 11 months ago
Radial Basis Function Networks and Complexity Regularization in Function Learning
In this paper we apply the method of complexity regularization to derive estimation bounds for nonlinear function estimation using a single hidden layer radial basis function netwo...
Adam Krzyzak, Tamás Linder
CORR
2004
Springer
110views Education» more  CORR 2004»
14 years 9 months ago
Shannon Information and Kolmogorov Complexity
The elementary theories of Shannon information and Kolmogorov complexity are cmpared, the extent to which they have a common purpose, and where they are fundamentally different. T...
Peter Grünwald, Paul M. B. Vitányi
ICIP
2000
IEEE
15 years 2 months ago
Low-Complexity Scalable DCT Image Compression
We have developed a scalable image compression scheme with a good performance-complexity trade-off. Like JPEG, it is based on the 8 × 8 block discrete cosine transform (DCT), but...
René J. van der Vleuten, Richard P. Kleihor...
TCS
2008
14 years 10 months ago
The cost of offline binary search tree algorithms and the complexity of the request sequence
In evaluating the performance of online algorithms for search trees, one wants to compare them to the best offline algorithm available. In this paper we lower bound the cost of an...
Jussi Kujala, Tapio Elomaa
MFCS
2010
Springer
14 years 8 months ago
Information Complexity of Online Problems
Abstract. What is information? Frequently spoken about in many contexts, yet nobody has ever been able to define it with mathematical rigor. The best we are left with so far is th...
Juraj Hromkovic, Rastislav Královic, Richar...