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ML
2007
ACM
13 years 7 months ago
Status report: specifying javascript with ML
The Ecma TC39-TG1 working group is using ML as the specification language for the next generation of JavaScript, the popular programming language for browser-based web applicatio...
David Herman, Cormac Flanagan
ML
2007
ACM
134views Machine Learning» more  ML 2007»
13 years 7 months ago
Status report: the manticore project
The Manticore project is an effort to design and implement a new functional language for parallel programming. Unlike many earlier parallel languages, Manticore is a heterogeneous...
Matthew Fluet, Nic Ford, Mike Rainey, John H. Repp...
ML
2007
ACM
101views Machine Learning» more  ML 2007»
13 years 7 months ago
A persistent union-find data structure
The problem of disjoint sets, also known as union-find, consists in maintaining a partition of a finite set within a data structure. This structure provides two operations: a fu...
Sylvain Conchon, Jean-Christophe Filliâtre
ML
1998
ACM
13 years 7 months ago
Conjectural Equilibrium in Multiagent Learning
Abstract. Learning in a multiagent environment is complicated by the fact that as other agents learn, the environment effectively changes. Moreover, other agents’ actions are oft...
Michael P. Wellman, Junling Hu
ML
1998
ACM
102views Machine Learning» more  ML 1998»
13 years 7 months ago
Statistical Mechanics of Online Learning of Drifting Concepts: A Variational Approach
We review the application of statistical mechanics methods to the study of online learning of a drifting concept in the limit of large systems. The model where a feed-forward netwo...
Renato Vicente, Osame Kinouchi, Nestor Caticha
ML
1998
ACM
148views Machine Learning» more  ML 1998»
13 years 7 months ago
Colearning in Differential Games
Game playing has been a popular problem area for research in artificial intelligence and machine learning for many years. In almost every study of game playing and machine learnin...
John W. Sheppard
ML
1998
ACM
153views Machine Learning» more  ML 1998»
13 years 7 months ago
Bayesian Landmark Learning for Mobile Robot Localization
To operate successfully in indoor environments, mobile robots must be able to localize themselves. Most current localization algorithms lack flexibility, autonomy, and often optim...
Sebastian Thrun
ML
1998
ACM
117views Machine Learning» more  ML 1998»
13 years 7 months ago
Learning Team Strategies: Soccer Case Studies
We use simulated soccer to study multiagent learning. Each team's players (agents) share action set and policy, but may behave di erently due to position-dependent inputs. All...
Rafal Salustowicz, Marco Wiering, Jürgen Schm...