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PLILP
1993
Springer
15 years 10 months ago
Higher-Order Chaotic Iteration Sequences
Chaotic iteration sequences is a method for approximating fixpoints of monotonic functions proposed by Patrick and Radhia Cousot. It may be used in specialisation algorithms for ...
Mads Rosendahl
AAAI
2004
15 years 7 months ago
Fibring Neural Networks
Neural-symbolic systems are hybrid systems that integrate symbolic logic and neural networks. The goal of neural-symbolic integration is to benefit from the combination of feature...
Artur S. d'Avila Garcez, Dov M. Gabbay
153
Voted
AAAI
1997
15 years 7 months ago
Effective Bayesian Inference for Stochastic Programs
In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...
Daphne Koller, David A. McAllester, Avi Pfeffer
CDC
2010
IEEE
196views Control Systems» more  CDC 2010»
15 years 1 months ago
Convergence and convergence rate of stochastic gradient search in the case of multiple and non-isolated extrema
The asymptotic behavior of stochastic gradient algorithms is studied. Relying on some results of differential geometry (Lojasiewicz gradient inequality), the almost sure pointconve...
Vladislav B. Tadic
SCP
2011
255views Communications» more  SCP 2011»
15 years 1 months ago
Map fusion for nested datatypes in intensional type theory
A definitional extension LNGMIt of the Calculus of Inductive Constructions (CIC), that underlies the proof assistant Coq, is presented that allows also to program with nested dat...
Ralph Matthes