Sciweavers

3142 search results - page 319 / 629
» Solving Hierarchical Optimization Problems Using MOEAs
Sort
View
DASFAA
2004
IEEE
135views Database» more  DASFAA 2004»
15 years 6 months ago
Semi-supervised Text Classification Using Partitioned EM
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
Gao Cong, Wee Sun Lee, Haoran Wu, Bing Liu
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 8 months ago
Co-evolving recurrent neurons learn deep memory POMDPs
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
Faustino J. Gomez, Jürgen Schmidhuber
GLOBECOM
2007
IEEE
15 years 9 months ago
Distributed Maximum Lifetime Routing in Wireless Sensor Networks Based on Regularization
— The maximum lifetime routing problem in wireless sensor networks has received increasing attention in recent years. One way is to formulate it as a linear programming problem b...
Vahid Shah-Mansouri, Vincent W. S. Wong
JMLR
2010
82views more  JMLR 2010»
14 years 9 months ago
On Spectral Learning
In this paper, we study the problem of learning a matrix W from a set of linear measurements. Our formulation consists in solving an optimization problem which involves regulariza...
Andreas Argyriou, Charles A. Micchelli, Massimilia...
SDM
2004
SIAM
211views Data Mining» more  SDM 2004»
15 years 4 months ago
Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
Databases are a key technology for molecular biology which is a very data intensive discipline. Since molecular biological databases are rather heterogeneous, unification and data...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...