Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
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. ...
: 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...
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 ...
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...