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» On the convergence of Hill's method
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LICS
1994
IEEE
15 years 5 months ago
Higher-Order Narrowing
Higher-order narrowing is a general method for higher-order equational reasoning and serves for instance as the foundation for the integration of functional and logic programming. ...
Christian Prehofer
GECCO
2006
Springer
166views Optimization» more  GECCO 2006»
15 years 5 months ago
Solving identification problem for asynchronous finite state machines using genetic algorithms
A Genetic Algorithm, embedded in a simulation-based method, is applied to the identification of Asynchronous Finite State Machines. Two different coding schemes and their associat...
Xiaojun Geng
ICONIP
2008
15 years 2 months ago
On Node-Fault-Injection Training of an RBF Network
Abstract. While injecting fault during training has long been demonstrated as an effective method to improve fault tolerance of a neural network, not much theoretical work has been...
John Sum, Chi-Sing Leung, Kevin Ho
NIPS
2007
15 years 2 months ago
Random Features for Large-Scale Kernel Machines
To accelerate the training of kernel machines, we propose to map the input data to a randomized low-dimensional feature space and then apply existing fast linear methods. The feat...
Ali Rahimi, Benjamin Recht
NIPS
1998
15 years 2 months ago
Maximum Conditional Likelihood via Bound Maximization and the CEM Algorithm
We present the CEM (Conditional Expectation Maximization) algorithm as an extension of the EM (Expectation Maximization) algorithm to conditional density estimation under missing ...
Tony Jebara, Alex Pentland