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» Learning Algorithms for Domain Adaptation
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TNN
2010
234views Management» more  TNN 2010»
14 years 7 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
117
Voted
KDD
2008
ACM
150views Data Mining» more  KDD 2008»
16 years 29 days ago
Hypergraph spectral learning for multi-label classification
A hypergraph is a generalization of the traditional graph in which the edges are arbitrary non-empty subsets of the vertex set. It has been applied successfully to capture highord...
Liang Sun, Shuiwang Ji, Jieping Ye
127
Voted
ICIP
2008
IEEE
16 years 2 months ago
Estimation and representation of accumulated motion characteristics for semantic event detection
In this paper, a motion-based approach for detecting high-level semantic events in video sequences is presented. Its main characteristic is its generic nature, i.e. it can be dire...
Georgios Th. Papadopoulos, Vasileios Mezaris, Ioan...
SSPR
2004
Springer
15 years 6 months ago
Optimizing Classification Ensembles via a Genetic Algorithm for a Web-Based Educational System
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...
96
Voted
FLAIRS
2006
15 years 1 months ago
Fuzzy Model Optimization Using Genetic Algorithm for Aircraft Engine Diagnosis
An accurate and up-to-date diagnostic model is critical for economic aircraft engine operation. However, for many commercial airline fleets, monitoring and diagnosing engine fault...
LiJie Yu, Daniel J. Cleary, Mark D. Osborn, Vrinda...