Sciweavers

AI
2007
Springer
13 years 5 months ago
Argument based machine learning
We present a novel approach to machine learning, called ABML (argumentation based ML). This approach combines machine learning from examples with concepts from the field of argum...
Martin Mozina, Jure Zabkar, Ivan Bratko
AI
2007
Springer
13 years 5 months ago
Computational properties of argument systems satisfying graph-theoretic constraints
One difficulty that arises in abstract argument systems is that many natural questions regarding argument acceptability are, in general, computationally intractable having been c...
Paul E. Dunne
AI
2007
Springer
13 years 5 months ago
The Carneades model of argument and burden of proof
We present a formal, mathematical model of argument structure and evaluation, taking seriously the procedural and dialogical aspects of argumentation. The model applies proof stan...
Thomas F. Gordon, Henry Prakken, Douglas Walton
AI
2007
Springer
13 years 5 months ago
Mining competent case bases for case-based reasoning
Rong Pan, Qiang Yang, Sinno Jialin Pan
AI
2007
Springer
13 years 5 months ago
If multi-agent learning is the answer, what is the question?
The area of learning in multi-agent systems is today one of the most fertile grounds for interaction between game theory and artificial intelligence. We focus on the foundational...
Yoav Shoham, Rob Powers, Trond Grenager
AI
2007
Springer
13 years 5 months ago
An economist's perspective on multi-agent learning
We comment on the Shoham, Powers, and Grenager survey of multi-agent learning and game theory, emphasizing that some of their categories are important for economics and others are...
Drew Fudenberg, David K. Levine
AI
2007
Springer
13 years 8 months ago
Performance Measures in Classification of Human Communications
This study emphasizes the importance of using appropriate measures in particular text classification settings. We focus on methods that evaluate how well a classifier performs. The...
Marina Sokolova, Guy Lapalme
AI
2007
Springer
13 years 8 months ago
A Profit-Based Business Model for Evaluating Rule Interestingness
Different types of rules are mined from transaction databases often with the goal of improving sales and services. In this paper, we link the interestingness of rules with the cont...
Yaohua Chen, Yan Zhao, Yiyu Yao
AI
2007
Springer
13 years 8 months ago
ICS: An Interactive Classification System
Abstract. Interactive data mining focuses on efficient and effective humancomputer interactions for data analysis purposes. An interactive system is an integration of a human user ...
Yan Zhao, Yiyu Yao, Mingwu Yan