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ICDM
2007
IEEE
187views Data Mining» more  ICDM 2007»
15 years 11 months ago
A Comparative Study of Methods for Transductive Transfer Learning
The problem of transfer learning, where information gained in one learning task is used to improve performance in another related task, is an important new area of research. While...
Andrew Arnold, Ramesh Nallapati, William W. Cohen
139
Voted
ICRA
2007
IEEE
150views Robotics» more  ICRA 2007»
15 years 11 months ago
Enhancing Software Modularity and Extensibility: A Case for using Generic Data Representations
— Portable, modular and extensible software allows robotics researchers to pool their resources by sharing algorithms, thus advancing research in the field of robotics at a fast...
Gregory Broten
IJCNN
2007
IEEE
15 years 11 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
135
Voted
IJCNN
2007
IEEE
15 years 11 months ago
TRUST-TECH Based Neural Network Training
— Efficient Training in a neural network plays a vital role in deciding the network architecture and the accuracy of these classifiers. Most popular local training algorithms t...
Hsiao-Dong Chiang, Chandan K. Reddy
INFOCOM
2007
IEEE
15 years 11 months ago
Using Low-Power Modes for Energy Conservation in Ethernet LANs
—Most Ethernet interfaces available for deployment in switches and hosts today can operate in a variety of different low power modes. However, currently these modes have very lim...
Maruti Gupta, Suresh Singh
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