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» Training Data Selection for Support Vector Machines
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NIPS
2004
13 years 10 months ago
Maximum Margin Clustering
We propose a new method for clustering based on finding maximum margin hyperplanes through data. By reformulating the problem in terms of the implied equivalence relation matrix, ...
Linli Xu, James Neufeld, Bryce Larson, Dale Schuur...
ICML
2010
IEEE
13 years 10 months ago
Submodular Dictionary Selection for Sparse Representation
We develop an efficient learning framework to construct signal dictionaries for sparse representation by selecting the dictionary columns from multiple candidate bases. By sparse,...
Andreas Krause, Volkan Cevher
SYBEN
1998
89views more  SYBEN 1998»
13 years 10 months ago
Authoring Hypermedia Training Applications
This paper presents an approach for authoring training applications. In this approach we think an author can undertake two roles: the meta-authoring role and the authoring role. A...
Aphrodite Tsalgatidou, M. Anastasiou, D. Plevria, ...
ICONIP
2010
13 years 6 months ago
Exploring Features and Classifiers to Classify MicroRNA Expression Profiles of Human Cancer
Recently, some non-coding small RNAs, known as microRNAs (miRNA), have drawn a lot of attention to identify their role in gene regulation and various biological processes. The miRN...
Kyung-Joong Kim, Sung-Bae Cho
ICDM
2003
IEEE
105views Data Mining» more  ICDM 2003»
14 years 2 months ago
SVM Based Models for Predicting Foreign Currency Exchange Rates
Support vector machine (SVM) has appeared as a powerful tool for forecasting forex market and demonstrated better performance over other methods, e.g., neural network or ARIMA bas...
Joarder Kamruzzaman, Ruhul A. Sarker, Iftekhar Ahm...