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NIPS
1996
13 years 11 months ago
Why did TD-Gammon Work?
Although TD-Gammon is one of the major successes in machine learning, it has not led to similar impressive breakthroughs in temporal difference learning for other applications or ...
Jordan B. Pollack, Alan D. Blair
GECCO
2008
Springer
250views Optimization» more  GECCO 2008»
13 years 10 months ago
Community detection in social networks with genetic algorithms
A new genetic algorithm to detect communities in social networks is presented. The algorithm uses a fitness function able to identify groups of nodes in the network having dense ...
Clara Pizzuti
ICDAR
2009
IEEE
13 years 7 months ago
PENTOOLS - A MATLAB Toolkit for On-line Pen-Based Data Experimentation
MATLAB provides a powerful environment for rapid prototyping of research methods and techniques. Across the wide range of on-line pen computing applications there exists a series ...
Richard M. Guest
ICML
2005
IEEE
14 years 10 months ago
Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
Xiaojin Zhu, John D. Lafferty
WWW
2003
ACM
14 years 10 months ago
Scaling personalized web search
Recent web search techniques augment traditional text matching with a global notion of "importance" based on the linkage structure of the web, such as in Google's P...
Glen Jeh, Jennifer Widom