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ICML
2006
IEEE
14 years 5 months ago
An empirical comparison of supervised learning algorithms
A number of supervised learning methods have been introduced in the last decade. Unfortunately, the last comprehensive empirical evaluation of supervised learning was the Statlog ...
Rich Caruana, Alexandru Niculescu-Mizil
DAGM
2010
Springer
13 years 2 months ago
An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM
Abstract. Graphical models with higher order factors are an important tool for pattern recognition that has recently attracted considerable attention. Inference based on such model...
Björn Andres, Jörg H. Kappes, Ullrich K&...
AAAI
2007
13 years 7 months ago
Temporal Difference and Policy Search Methods for Reinforcement Learning: An Empirical Comparison
Reinforcement learning (RL) methods have become popular in recent years because of their ability to solve complex tasks with minimal feedback. Both genetic algorithms (GAs) and te...
Matthew E. Taylor, Shimon Whiteson, Peter Stone
PKDD
2007
Springer
107views Data Mining» more  PKDD 2007»
13 years 11 months ago
An Empirical Comparison of Exact Nearest Neighbour Algorithms
Nearest neighbour search (NNS) is an old problem that is of practical importance in a number of fields. It involves finding, for a given point q, called the query, one or more po...
Ashraf M. Kibriya, Eibe Frank
IIR
2010
13 years 6 months ago
An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data
Recommender systems are widely used in E-Commerce for making automatic suggestions of new items that could meet the interest of a given user. Collaborative Filtering approaches co...
Nicola Barbieri, Massimo Guarascio, Ettore Ritacco