Sciweavers

801 search results - page 95 / 161
» The Inefficiency of Batch Training for Large Training Sets
Sort
View
JMLR
2006
150views more  JMLR 2006»
13 years 8 months ago
Building Support Vector Machines with Reduced Classifier Complexity
Support vector machines (SVMs), though accurate, are not preferred in applications requiring great classification speed, due to the number of support vectors being large. To overc...
S. Sathiya Keerthi, Olivier Chapelle, Dennis DeCos...
NCA
2008
IEEE
13 years 8 months ago
Neurodynamic programming: a case study of the traveling salesman problem
The paper focuses on the study of solving the large-scale traveling salesman problem (TSP) based on neurodynamic programming. From this perspective, two methods, temporal differenc...
Jia Ma, Tao Yang, Zeng-Guang Hou, Min Tan, Derong ...
CORR
1999
Springer
67views Education» more  CORR 1999»
13 years 8 months ago
ZBroker: A Query Routing Broker for Z39.50 Databases
A query routing broker is a software agent that determines from a large set of accessing information sources the ones most relevant to a user's information need. As the numbe...
Yong Lin, Jian Xu, Ee-Peng Lim, Wee Keong Ng
PR
2007
84views more  PR 2007»
13 years 8 months ago
Attention-based similarity
A similarity measure is described that does not require the prior specification of features or the need for training sets of representative data. Instead large numbers of feature...
Fred Stentiford
IAT
2010
IEEE
13 years 6 months ago
Semi-supervised Learning for Opinion Detection
Research on opinion detection has shown that a large number of opinion-labeled data are necessary for capturing subtle opinions. However, opinion-labeled data, especially at the su...
Ning Yu, Sandra Kübler