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ISCAS
1995
IEEE
116views Hardware» more  ISCAS 1995»
14 years 1 months ago
Capabilities and Limitations of Feedforward Neural Networks with Multilevel Neurons
This paper proposes a multilevel logic approach to output coding using multilevel neurons in the output layer. Training convergence for a single multilevel perceptron is considere...
Aleksander Malinowski, Tomasz J. Cholewo, Jacek M....
ESANN
1998
13 years 11 months ago
NAR time-series prediction: a Bayesian framework and an experiment
: We extend the Bayesian framework to Multi-Layer Perceptron models of Non-linear Auto-Regressive time-series. The approach is evaluated on an artificial time-series and some commo...
Michel Crucianu, Crucianu Uhry, Jean Pierre Asseli...
INFORMATICALT
2008
135views more  INFORMATICALT 2008»
13 years 9 months ago
Neural Network with Matrix Inputs
In this paper we propose and analyze a multilayer perceptron-like model with matrix inputs. We applied the proposed model to the financial time series prediction problem, compared ...
Povilas Daniusis, Pranas Vaitkus
ACL
2009
13 years 7 months ago
A Unified Single Scan Algorithm for Japanese Base Phrase Chunking and Dependency Parsing
We describe an algorithm for Japanese analysis that does both base phrase chunking and dependency parsing simultaneously in linear-time with a single scan of a sentence. In this p...
Manabu Sassano, Sadao Kurohashi
CSIE
2009
IEEE
14 years 4 months ago
A Computation Saving Partial-Sum-Global-Update Scheme for Perceptron Branch Predictor
With the pipeline deepen and issue width widen, the accuracy of branch predictor becomes more and more important to the performance of a microprocessor. State-of-theart researches...
Liqiang He