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INFORMATICALT
2002
82views more  INFORMATICALT 2002»
13 years 9 months ago
Data Aggregation Sets in Adaptive Data Model
This article presents the ways of identification, selection and transformation of the data into other structures. Relation selection and transformation may change data quantity and...
Petras Gailutis Adomenas, Algirdas Ciucelis
ICMCS
2005
IEEE
147views Multimedia» more  ICMCS 2005»
14 years 3 months ago
Comparing Feature Sets for Acted and Spontaneous Speech in View of Automatic Emotion Recognition
We present a data-mining experiment on feature selection for automatic emotion recognition. Starting from more than 1000 features derived from pitch, energy and MFCC time series, ...
Thurid Vogt, Elisabeth André
TKDE
2012
192views Formal Methods» more  TKDE 2012»
12 years 10 days ago
Discriminative Feature Selection by Nonparametric Bayes Error Minimization
Feature selection is fundamental to knowledge discovery from massive amount of high-dimensional data. In an effort to establish theoretical justification for feature selection al...
Shuang-Hong Yang, Bao-Gang Hu
TNN
2010
168views Management» more  TNN 2010»
13 years 4 months ago
On the selection of weight decay parameter for faulty networks
The weight-decay technique is an effective approach to handle overfitting and weight fault. For fault-free networks, without an appropriate value of decay parameter, the trained ne...
Andrew Chi-Sing Leung, Hongjiang Wang, John Sum
IS
2012
12 years 5 months ago
View determinacy for preserving selected information in data transformations
When transforming data one often wants certain information in the data source to be preserved, i.e., we identify parts of the source data and require these parts to be transformed...
Wenfei Fan, Floris Geerts, Lixiao Zheng