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CIS
2005
Springer
15 years 9 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
CORR
2010
Springer
55views Education» more  CORR 2010»
15 years 3 months ago
Using Financial Ratios to Identify Romanian Distressed Companies
In the context of the current financial crisis, when more companies are facing bankruptcy or insolvency, the paper aims to find methods to identify distressed firms by using finan...
Madalina Ecaterina Andreica, Mugurel Ionut Andreic...
KDD
1998
ACM
101views Data Mining» more  KDD 1998»
15 years 8 months ago
Probabilistic Modeling for Information Retrieval with Unsupervised Training Data
We apply a well-known Bayesian probabilistic model to textual information retrieval: the classification of documents based on their relevance to a query. This model was previously...
Ernest P. Chan, Santiago Garcia, Salim Roukos
DMIN
2008
176views Data Mining» more  DMIN 2008»
15 years 5 months ago
Multi-Class SVM for Large Data Sets Considering Models of Classes Distribution
Support Vector Machines (SVM) have gained profound interest amidst the researchers. One of the important issues concerning SVM is with its application to large data sets. It is rec...
Jair Cervantes, Xiaoou Li, Wen Yu
IJCNLP
2004
Springer
15 years 9 months ago
Using a Smoothing Maximum Entropy Model for Chinese Nominal Entity Tagging
This paper treats nominal entity tagging as a six-way (five categories plus nonentity) classification problem and applies a smoothing maximum entropy (ME) model with a Gaussian pr...
Jinying Chen, Nianwen Xue, Martha Stone Palmer