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ILP
2003
Springer
15 years 9 months ago
Complexity Parameters for First-Order Classes
We study several complexity parameters for first order formulas and their suitability for first order learning models. We show that the standard notion of size is not captured by...
Marta Arias, Roni Khardon
TOOLS
2000
IEEE
15 years 7 months ago
Applying the Lessons of eXtreme Programming
Although eXtreme Programming has been explained by Kent Beck[1], there are many benefits to adopting eXtreme Programming (XP) practices in other development processes. The benefit...
Pete McBreen
ACL
1994
15 years 5 months ago
A Markov Language Learning Model for Finite Parameter Spaces
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
Partha Niyogi, Robert C. Berwick
JMLR
2006
169views more  JMLR 2006»
15 years 4 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
ICRA
2008
IEEE
119views Robotics» more  ICRA 2008»
15 years 10 months ago
Towards schema-based, constructivist robot learning: Validating an evolutionary search algorithm for schema chunking
— In this paper, we lay the groundwork for extending our previously developed ASyMTRe architecture to enable constructivist learning for multi-robot team tasks. The ASyMTRe archi...
Yifan Tang, Lynne E. Parker