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ACL
1994
15 years 7 months ago
A Markov Language Learning Model for Finite Parameter Spaces
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
Partha Niyogi, Robert C. Berwick
APVIS
2008
15 years 7 months ago
Efficient Rendering of Extrudable Curvilinear Volumes
We present a technique for memory-efficient and time-efficient volume rendering of curvilinear adaptive mesh refinement data defined within extrudable computational spaces. One of...
Steven Martin, Han-Wei Shen, Ravi Samtaney
IFL
2001
Springer
15 years 10 months ago
Runtime Behavior of Conversion Interpretation of Subtyping
A programming language with subtyping can be translated into a language without subtyping by inserting conversion functions. Previous studies of this interpretation showed only the...
Yasuhiko Minamide
FLAIRS
2004
15 years 7 months ago
State Space Reduction For Hierarchical Reinforcement Learning
er provides new techniques for abstracting the state space of a Markov Decision Process (MDP). These techniques extend one of the recent minimization models, known as -reduction, ...
Mehran Asadi, Manfred Huber
CHI
2005
ACM
16 years 6 months ago
Digital backchannels in shared physical spaces: experiences at an academic conference
There are a variety of digital tools for enabling people who are physically separated by time and space to communicate and collaborate. Widespread use of some of these tools, such...
Joseph F. McCarthy, Danah Boyd