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» A Training Method with Small Computation for Classification
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JMLR
2008
89views more  JMLR 2008»
13 years 7 months ago
An Error Bound Based on a Worst Likely Assignment
This paper introduces a new PAC transductive error bound for classification. The method uses information from the training examples and inputs of working examples to develop a set...
Eric Bax, Augusto Callejas
CIS
2005
Springer
14 years 1 months ago
Training Multi-layer Perceptrons Using MiniMin Approach
Abstract. Multi-layer perceptrons (MLPs) have been widely used in classification and regression task. How to improve the training speed of MLPs has been an interesting field of res...
Liefeng Bo, Ling Wang, Licheng Jiao
ACL
2010
13 years 2 months ago
Adapting Self-Training for Semantic Role Labeling
Supervised semantic role labeling (SRL) systems trained on hand-crafted annotated corpora have recently achieved state-of-the-art performance. However, creating such corpora is te...
Rasoul Samad Zadeh Kaljahi
NAACL
2010
13 years 5 months ago
Improving Blog Polarity Classification via Topic Analysis and Adaptive Methods
In this paper we examine different linguistic features for sentimental polarity classification, and perform a comparative study on this task between blog and review data. We found...
Feifan Liu, Dong Wang, Bin Li, Yang Liu
TJS
2010
182views more  TJS 2010»
13 years 6 months ago
A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Yasser Yasami, Saadat Pour Mozaffari