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» Algorithm Selection using Reinforcement Learning
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ACL
2009
15 years 1 months ago
Semi-supervised Learning for Automatic Prosodic Event Detection Using Co-training Algorithm
Most of previous approaches to automatic prosodic event detection are based on supervised learning, relying on the availability of a corpus that is annotated with the prosodic lab...
Je Hun Jeon, Yang Liu
ICANN
2007
Springer
15 years 5 months ago
Solving Selected Classification Problems in Bioinformatics Using Multilayer Neural Network Based on Multi-Valued Neurons (MLMVN)
A multilayer neural network based on multi-valued neurons (MLMVN) is a new powerful tool for solving classification, recognition and prediction problems. This network has a number ...
Igor N. Aizenberg, Jacek M. Zurada
ADCS
2004
15 years 4 months ago
Phrases and Feature Selection in E-Mail Classification
In this paper we study the effectiveness of using a phrase-based representation in e-mail classification, and the affect this approach has on a number of machine learning algorithm...
Elisabeth Crawford, Irena Koprinska, Jon Patrick
CORR
2011
Springer
200views Education» more  CORR 2011»
14 years 10 months ago
Using Feature Weights to Improve Performance of Neural Networks
Different features have different relevance to a particular learning problem. Some features are less relevant; while some very important. Instead of selecting the most relevant fe...
Ridwan Al Iqbal
AI
2004
Springer
15 years 3 months ago
A selective sampling approach to active feature selection
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
Huan Liu, Hiroshi Motoda, Lei Yu