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ADCM
2010
59views more  ADCM 2010»
13 years 10 months ago
Sampling inequalities for infinitely smooth functions, with applications to interpolation and machine learning
Sampling inequalities give a precise formulation of the fact that a differentiable function cannot attain large values, if its derivatives are bounded and if it is small on a suff...
Christian Rieger, Barbara Zwicknagl
SIAMMAX
2010
105views more  SIAMMAX 2010»
13 years 4 months ago
Construction of Covariance Matrices with a Specified Discrepancy Function Minimizer, with Application to Factor Analysis
The main goal of this paper is to develop a numerical procedure for construction of covariance matrices such that for a given covariance structural model and a discrepancy function...
So Yeon Chun, A. Shapiro
TCOM
2010
147views more  TCOM 2010»
13 years 4 months ago
On a Ratio of Functions of Exponential Random Variables and Some Applications
Consider independent and identically distributed exponential random variables (r.vs) 1, 2, . . . , and positive scalars 1, 2, . . . , . In this letter, we present the probability...
Ramesh Annavajjala, Ananthanarayanan Chockalingam,...
BIBM
2009
IEEE
206views Bioinformatics» more  BIBM 2009»
14 years 4 months ago
Application of Kernel Functions for Accurate Similarity Search in Large Chemical Databases
Background: Similaritysearch in chemical structure databases is an important problem with many applications in chemical genomics, drug design, and efficient chemical probe screeni...
Xiaohong Wang, Jun Huan, Aaron M. Smalter, Gerald ...
ASIACRYPT
2003
Springer
14 years 3 months ago
Incremental Multiset Hash Functions and Their Application to Memory Integrity Checking
We introduce a new cryptographic tool: multiset hash functions. Unlike standard hash functions which take strings as input, multiset hash functions operate on multisets (or sets). ...
Dwaine E. Clarke, Srinivas Devadas, Marten van Dij...