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ICML
2000
IEEE
16 years 7 months ago
Learning Probabilistic Models for Decision-Theoretic Navigation of Mobile Robots
Decision-theoretic reasoning and planning algorithms are increasingly being used for mobile robot navigation, due to the signi cant uncertainty accompanying the robots' perce...
Daniel Nikovski, Illah R. Nourbakhsh
ICALT
2009
IEEE
15 years 10 months ago
On-demand Construction of Personalized Learning Experiences Using Semantic Web and Web 2.0 Techniques
Nowadays, the Semantic Web technologies are exploited also in the e-learning domain in order to provide personalized and adaptive learning experiences, semantic annotation of lear...
Nicola Capuano, Matteo Gaeta, Francesco Orciuoli, ...
ICCS
1993
Springer
15 years 10 months ago
Towards Domain-Independent Machine Intelligence
Adaptive predictive search (APS), is a learning system framework, which given little initial domain knowledge, increases its decision-making abilities in complex problems domains....
Robert Levinson
ICALT
2006
IEEE
16 years 22 days ago
Serving Learning and Assessment in SCALE
In this paper, we present a web-based educational setting, referred to as SCALE (Supporting Collaboration and Adaptation in a Learning Environment), which aims to serve leaning an...
Maria Grigoriadou, Evangelia Gouli, Agoritsa Gogou...
COLT
1995
Springer
15 years 10 months ago
On Learning Bounded-Width Branching Programs
In this paper, we study PAC-leaming algorithms for specialized classes of deterministic finite automata (DFA). Inpartictdar, we study branchingprogrsms, and we investigate the int...
Funda Ergün, Ravi Kumar, Ronitt Rubinfeld