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KDD
2004
ACM
196views Data Mining» more  KDD 2004»
14 years 9 months ago
Adversarial classification
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. ...
ICML
2003
IEEE
14 years 9 months ago
Learning To Cooperate in a Social Dilemma: A Satisficing Approach to Bargaining
Learning in many multi-agent settings is inherently repeated play. This calls into question the naive application of single play Nash equilibria in multi-agent learning and sugges...
Jeff L. Stimpson, Michael A. Goodrich
ATAL
2006
Springer
14 years 20 days ago
Learning against multiple opponents
We address the problem of learning in repeated N-player (as opposed to 2-player) general-sum games. We describe an extension to existing criteria focusing explicitly on such setti...
Thuc Vu, Rob Powers, Yoav Shoham
EELC
2006
113views Languages» more  EELC 2006»
14 years 17 days ago
A Hybrid Model for Learning Word-Meaning Mappings
Abstract. In this paper we introduce a model for the simulation of language evolution, which is incorporated in the New Ties project. The New Ties project aims at evolving a cultur...
Federico Divina, Paul Vogt
ECTEL
2011
Springer
12 years 8 months ago
Remote Collaborative Multi-user Informal Learning Experiences: Design and Evaluation
This paper presents a customizable system used to develop a collaborative multi-user problem solving game. It addresses the increasing demand for appealing informal learning experi...
Ernesto Arroyo, Valeria Righi, Roger Tarrago, Patr...