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» On Learning from Exercises
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CATS
2006
15 years 8 months ago
Learnability of Term Rewrite Systems from Positive Examples
Learning from examples is an important characteristic feature of intelligence in both natural and artificial intelligent agents. In this paper, we study learnability of term rewri...
M. R. K. Krishna Rao
IJRR
2007
186views more  IJRR 2007»
15 years 6 months ago
Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract a person’s activities and significant plac...
Lin Liao, Dieter Fox, Henry A. Kautz
CVPR
2010
IEEE
16 years 2 months ago
Detecting and Parsing Architecture at City Scale from Range Data
We present a method for detecting and parsing buildings from unorganized 3D point clouds into a compact, hierarchical representation that is useful for high-level tasks. The input...
Alexander Toshev, Philippos Mordohai, Ben Taskar
ACG
2009
Springer
16 years 1 months ago
Deriving Concepts and Strategies from Chess Tablebases
Abstract. Complete tablebases, indicating best moves for every position, exist for chess endgames. There is no doubt that tablebases contain a wealth of knowledge, however, mining ...
Matej Guid, Martin Mozina, Aleksander Sadikov, Iva...
IVA
2009
Springer
16 years 1 months ago
Predicting User Psychological Characteristics from Interactions with Empathetic Virtual Agents
Enabling virtual agents to quickly and accurately infer users’ psychological characteristics such as their personality could support a broad range of applications in education, t...
Jennifer L. Robison, Jonathan P. Rowe, Scott W. Mc...