1034 search results - page 151 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
99
Voted
ILP
2007
Springer
15 years 6 months ago
2007
Springer
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
112
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
Generative topic models such as LDA are limited by their inability to utilize nontrivial input features to enhance their performance, and many topic models assume that topic assig...
CORR
2007
Springer
15 years 14 days ago
2007
Springer
This is to present work on modifying the Aleph ILP system so that it evaluates the hypothesised clauses in parallel by distributing the data-set among the nodes of a parallel or di...
121
Voted
ATAL
2006
Springer
15 years 4 months ago
2006
Springer
Learning to converge to an efficient, i.e., Pareto-optimal Nash equilibrium of the repeated game is an open problem in multiagent learning. Our goal is to facilitate the learning ...
123
Voted
WSDM
2012
ACM
13 years 8 months ago
2012
ACM
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...