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AAAI
2008
13 years 9 months ago
Structure Learning on Large Scale Common Sense Statistical Models of Human State
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
William Pentney, Matthai Philipose, Jeff A. Bilmes
REFSQ
2007
Springer
14 years 1 months ago
Towards a Tomographic Framework for Structured Observation of Communicative Behaviour in Hospital Wards
Abstract. The research presented in this paper investigates how observation of information- and communication-intensive work in hospital wards can be used to produce requirements f...
Inger Dybdahl Sørby, Øystein Nytr&os...
ECAI
2004
Springer
14 years 27 days ago
Combining Multiple Answers for Learning Mathematical Structures from Visual Observation
Learning general truths from the observation of simple domains and, further, learning how to use this knowledge are essential capabilities for any intelligent agent to understand ...
Paulo Santos, Derek R. Magee, Anthony G. Cohn, Dav...
CORR
2010
Springer
127views Education» more  CORR 2010»
13 years 2 months ago
Complexity of Data Dependence problems for Program Schemas with Concurrency
am analysis and has been widely studied. In this paper we consider this problem at the abstraction level of program schemas in which computations occur in the Herbrand domain of te...
Sebastian Danicic, Robert M. Hierons, Michael R. L...
ICDM
2010
IEEE
119views Data Mining» more  ICDM 2010»
13 years 5 months ago
Visually Controllable Data Mining Methods
A large number of data mining methods are, as such, not applicable to fast, intuitive, and interactive use. Thus, there is a need for visually controllable data mining methods. Suc...
Kai Puolamäki, Panagiotis Papapetrou, Jefrey ...