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NIPS
2000
15 years 5 months ago
Structure Learning in Human Causal Induction
We use graphical models to explore the question of how people learn simple causal relationships from data. The two leading psychological theories can both be seen as estimating th...
Joshua B. Tenenbaum, Thomas L. Griffiths
AIPS
1996
15 years 5 months ago
A Planner for Exploratory Data Analysis
Statistical exploratory data analysis (EDA) poses a di cult search problem. However, the EDA process lends itself to a planning formulation. We have built a system, called Aide, t...
Robert St. Amant, Paul R. Cohen
BIRTHDAY
2010
Springer
15 years 5 months ago
Formal Semantics of a VDM Extension for Distributed Embedded Systems
Abstract. To support model-based development and analysis of embedded systems, the specification language VDM++ has been extended with asynchronous communication and improved timin...
Jozef Hooman, Marcel Verhoef
136
Voted
IJMC
2006
58views more  IJMC 2006»
15 years 4 months ago
Hoarding content for mobile learning
: M-learning is a rapidly expanding recently domain. Provoked by the fast advances of mobile technologies different applications and systems are developed continuously. Here we add...
Anna Trifonova, Marco Ronchetti
112
Voted
IVC
2008
100views more  IVC 2008»
15 years 4 months ago
Attention can improve a simple model for object recognition
Object recognition is one of the most important tasks of the visual cortex. Even though it has been closely studied in the field of computer vision and neuroscience, the underlyin...
Edgar Bermudez Contreras, Hilary Buxton, Emmet Spi...