Sciweavers

75
Voted
ICML
1997
IEEE
16 years 13 days ago
Exponentiated Gradient Methods for Reinforcement Learning
Doina Precup, Richard S. Sutton
ICML
1997
IEEE
16 years 13 days ago
An adaptation of Relief for attribute estimation in regression
Heuristic measures for estimating the quality of attributes mostly assume the independence of attributes so in domains with strong dependencies between attributes their performanc...
Marko Robnik-Sikonja, Igor Kononenko
78
Voted
ICML
1997
IEEE
16 years 13 days ago
Learning String Edit Distance
Eric Sven Ristad, Peter N. Yianilos
86
Voted
ICML
1997
IEEE
16 years 13 days ago
Automatic Rule Acquisition for Spelling Correction
This paper describes a new approach to automatically learning linguistic knowledge for spelling correction. A major feature of this approach is the fact that the acquired knowledg...
Lidia Mangu, Eric Brill
99
Voted
ICML
1997
IEEE
16 years 13 days ago
A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
The Rocchio relevance feedback algorithm is one of the most popular and widely applied learning methods from information retrieval. Here, a probabilistic analysis of this algorith...
Thorsten Joachims
87
Voted
ICML
1997
IEEE
16 years 13 days ago
Learning Belief Networks in the Presence of Missing Values and Hidden Variables
In recent years there has been a flurry of works on learning probabilistic belief networks. Current state of the art methods have been shown to be successful for two learning scen...
Nir Friedman
88
Voted
ICML
1997
IEEE
16 years 13 days ago
Robot Learning From Demonstration
The goal of robot learning from demonstration is to have a robot learn from watching a demonstration of the task to be performed. In our approach to learning from demonstration th...
Christopher G. Atkeson, Stefan Schaal