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ACL
2007
13 years 11 months ago
Chinese Segmentation with a Word-Based Perceptron Algorithm
Standard approaches to Chinese word segmentation treat the problem as a tagging task, assigning labels to the characters in the sequence indicating whether the character marks a w...
Yue Zhang 0004, Stephen Clark
ESANN
2008
13 years 11 months ago
Multilayer Perceptrons with Radial Basis Functions as Value Functions in Reinforcement Learning
Using multilayer perceptrons (MLPs) to approximate the state-action value function in reinforcement learning (RL) algorithms could become a nightmare due to the constant possibilit...
Victor Uc Cetina
AMAI
2002
Springer
13 years 9 months ago
Minimizing Output Error in Multi-Layer Perceptrons
act It is well-established that a multi-layer perceptron (MLP) with a single hidden layer of N neurons and an activation function bounded by zero at negative infinity and one at in...
Jonathan P. Bernick
JUCS
2008
181views more  JUCS 2008»
13 years 9 months ago
An IP Core and GUI for Implementing Multilayer Perceptron with a Fuzzy Activation Function on Configurable Logic Devices
: This paper describes the development of an Intellectual Property (IP) core in VHDL able to implement a Multilayer Perceptron (MLP) artificial neural network (ANN) topology with u...
Alfredo Rosado Muñoz, Luis Gómez-Cho...
ALT
2007
Springer
14 years 6 months ago
Learning Kernel Perceptrons on Noisy Data Using Random Projections
In this paper, we address the issue of learning nonlinearly separable concepts with a kernel classifier in the situation where the data at hand are altered by a uniform classific...
Guillaume Stempfel, Liva Ralaivola