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» Temporal Data Classification Using Linear Classifiers
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KES
2007
Springer
15 years 8 months ago
Automated Ham Quality Classification Using Ensemble Unsupervised Mapping Models
This multidisciplinary study focuses on the application and comparison of several topology preserving mapping models upgraded with some classifier ensemble and boosting techniques ...
Bruno Baruque, Emilio Corchado, Hujun Yin, Jordi R...
CHI
2009
ACM
16 years 2 months ago
Using temporal patterns (t-patterns) to derive stress factors of routine tasks
We describe the use of a statistical technique called Tpattern analysis to derive and characterize the routineness of tasks. T-patterns provide significant advantages over traditi...
Oliver Brdiczka, Norman Makoto Su, Bo Begole
ICML
2005
IEEE
16 years 3 months ago
Building Sparse Large Margin Classifiers
This paper presents an approach to build Sparse Large Margin Classifiers (SLMC) by adding one more constraint to the standard Support Vector Machine (SVM) training problem. The ad...
Bernhard Schölkopf, Gökhan H. Bakir, Min...
ECOI
2006
59views more  ECOI 2006»
15 years 2 months ago
Model-building with interpolated temporal data
Ecological data can be difficult to collect, and as a result, some important temporal ecological datasets contain irregularly sampled data. Since many temporal modelling technique...
Robert I. McKay, Tuan Hao Hoang, Naoki Mori, Nguye...
COLING
2002
15 years 2 months ago
Multi-Dimensional Text Classification
This paper proposes a multi-dimensional framework for classifying text documents. In this framework, the concept of multidimensional category model is introduced for representing ...
Thanaruk Theeramunkong, Verayuth Lertnattee