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142
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PERCOM
2003
ACM
15 years 9 months ago
Recognition of Human Activity through Hierarchical Stochastic Learning
Seeking to extend the functional capability of the elderly, we explore the use of probabilistic methods to learn and recognise human activity in order to provide monitoring suppor...
Sebastian Lühr, Hung Hai Bui, Svetha Venkates...
ECAI
2006
Springer
15 years 7 months ago
Learning by Automatic Option Discovery from Conditionally Terminating Sequences
Abstract. This paper proposes a novel approach to discover options in the form of conditionally terminating sequences, and shows how they can be integrated into reinforcement learn...
Sertan Girgin, Faruk Polat, Reda Alhajj
128
Voted
AIS
1998
Springer
15 years 3 months ago
The Synergy of Learning Organisations and Flexible Information Technology
The switch from the Command-and-Control to Learning Organisation paradigm in the area of organisational theory is well understood. It is less well appreciated that learning organi...
George Rzevski, Kumkum Prasad
ILP
1999
Springer
15 years 8 months ago
Probabilistic Relational Models
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Daphne Koller
113
Voted
ATAL
2005
Springer
15 years 9 months ago
Multi-agent reward analysis for learning in noisy domains
In many multi agent learning problems, it is difficult to determine, a priori, the agent reward structure that will lead to good performance. This problem is particularly pronoun...
Adrian K. Agogino, Kagan Tumer