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IANDC
2008
74views more  IANDC 2008»
13 years 7 months ago
Baire categories on small complexity classes and meager-comeager laws
We introduce two resource-bounded Baire category notions on small complexity classes such as P, QUASIPOLY, SUBEXP and PSPACE and on probabilistic classes such as BPP, which differ...
Philippe Moser
TIT
2008
81views more  TIT 2008»
13 years 7 months ago
How to Filter an "Individual Sequence With Feedback"
We consider causally estimating (filtering) the components of a noise-corrupted sequence relative to a reference class of filters. The noiseless sequence to be filtered is designe...
Tsachy Weissman
JMLR
2010
206views more  JMLR 2010»
13 years 2 months ago
Learning Translation Invariant Kernels for Classification
Appropriate selection of the kernel function, which implicitly defines the feature space of an algorithm, has a crucial role in the success of kernel methods. In this paper, we co...
Sayed Kamaledin Ghiasi Shirazi, Reza Safabakhsh, M...
IPMI
2001
Springer
14 years 8 months ago
A Sequential 3D Thinning Algorithm and Its Medical Applications
Skeleton is a frequently applied shape feature to represent the general form of an object. Thinning is an iterative object reduction technique for producing a reasonable approximat...
Kálmán Palágyi, Erich Soranti...
ICPR
2000
IEEE
14 years 8 months ago
General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of D
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
Jakob Vogdrup Hansen, Tom Heskes