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» Scalable Algorithms for Distribution Search
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170
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WSDM
2012
ACM
301views Data Mining» more  WSDM 2012»
14 years 5 days ago
Learning evolving and emerging topics in social media: a dynamic nmf approach with temporal regularization
As massive repositories of real-time human commentary, social media platforms have arguably evolved far beyond passive facilitation of online social interactions. Rapid analysis o...
Ankan Saha, Vikas Sindhwani
198
Voted
TEC
2010
203views more  TEC 2010»
14 years 11 months ago
Niching Without Niching Parameters: Particle Swarm Optimization Using a Ring Topology
Niching is an important technique for multimodal optimization. Most existing niching methods require specification of certain niching parameters in order to perform well. These nic...
Xiaodong Li
130
Voted
WWW
2005
ACM
16 years 5 months ago
Improving Web search efficiency via a locality based static pruning method
The unarguably fast, and continuous, growth of the volume of indexed (and indexable) documents on the Web poses a great challenge for search engines. This is true regarding not on...
Edleno Silva de Moura, Célia Francisca dos ...
ILP
2004
Springer
15 years 10 months ago
Learning an Approximation to Inductive Logic Programming Clause Evaluation
One challenge faced by many Inductive Logic Programming (ILP) systems is poor scalability to problems with large search spaces and many examples. Randomized search methods such as ...
Frank DiMaio, Jude W. Shavlik
357
Voted
EC
2012
289views ECommerce» more  EC 2012»
14 years 9 days ago
Multimodal Optimization Using a Bi-Objective Evolutionary Algorithm
In a multimodal optimization task, the main purpose is to find multiple optimal solutions (global and local), so that the user can have a better knowledge about different optima...
Kalyanmoy Deb, Amit Saha