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AAAI
2006
15 years 5 months ago
Subjective Mapping
Extracting a map from a stream of experience is a key problem in robotics and artificial intelligence in general. We propose a technique, called subjective mapping, that seeks to ...
Michael H. Bowling, Dana F. Wilkinson, Ali Ghodsi
COLT
1999
Springer
15 years 8 months ago
On a Generalized Notion of Mistake Bounds
This paper proposes the use of constructive ordinals as mistake bounds in the on-line learning model. This approach elegantly generalizes the applicability of the on-line mistake ...
Sanjay Jain, Arun Sharma
EDOC
2003
IEEE
15 years 9 months ago
Towards a Language for Coherent Enterprise Architecture Descriptions
A coherent description of architectures provides insight, enables communication among different stakeholders and guides complicated (business and ICT) change processes. Unfortunat...
Henk Jonkers, René van Buuren, Farhad Arbab...
EDM
2008
97views Data Mining» more  EDM 2008»
15 years 6 months ago
Using Item-type Performance Covariance to Improve the Skill Model of an Existing Tutor
Using data from an existing pre-algebra computer-based tutor, we analyzed the covariance of item-types with the goal of describing a more effective way to assign skill labels to it...
Philip I. Pavlik, Hao Cen, Lili Wu, Kenneth R. Koe...
ECML
2006
Springer
15 years 8 months ago
Combinatorial Markov Random Fields
Abstract. A combinatorial random variable is a discrete random variable defined over a combinatorial set (e.g., a power set of a given set). In this paper we introduce combinatoria...
Ron Bekkerman, Mehran Sahami, Erik G. Learned-Mill...