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IJON
2007
184views more  IJON 2007»
15 years 4 months ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen
JCC
2007
79views more  JCC 2007»
15 years 4 months ago
Interfacing Q-Chem and CHARMM to perform QM/MM reaction path calculations
Abstract: A hybrid quantum mechanical/molecular mechanical (QM/MM) potential energy function with HartreeFock, density functional theory (DFT), and post-HF (RIMP2, MP2, CCSD) capab...
H. Lee Woodcock III, Milan Hodoscek, Andrew T. B. ...
ICS
2010
Tsinghua U.
16 years 1 months ago
Space-Efficient Estimation of Robust Statistics and Distribution Testing
: The generic problem of estimation and inference given a sequence of i.i.d. samples has been extensively studied in the statistics, property testing, and learning communities. A n...
Steve Chien, Katrina Ligett, Andrew McGregor
ICFP
2008
ACM
16 years 4 months ago
From ML to MLF: graphic type constraints with efficient type inference
MLF is a type system that seamlessly merges ML-style type inference with System-F polymorphism. We propose a system of graphic (type) constraints that can be used to perform type ...
Boris Yakobowski, Didier Rémy
DCC
2005
IEEE
16 years 3 months ago
Towards Practical Minimum-Entropy Universal Decoding
Minimum-entropy decoding is a universal decoding algorithm used in decoding block compression of discrete memoryless sources as well as block transmission of information across di...
Todd P. Coleman, Muriel Médard, Michelle Ef...