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ACL
1994
13 years 9 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
APCCM
2009
13 years 8 months ago
A Semantic Associative Computation Method for Automatic Decorative-Multimedia Creation with 'Kansei' Information
In the design of multimedia systems, one of the important issues is how to deal with "Kansei" of human beings. The concept of "Kansei" in Japanese includes sev...
Yasushi Kiyoki, Xing Chen
ATAL
2010
Springer
13 years 8 months ago
Exploiting scale invariant dynamics for efficient information propagation in large teams
Large heterogeneous teams will often be in situations where sensor data that is uncertain and conflicting is shared across a peer-to-peer network. Not every team member will have ...
Robin Glinton, Paul Scerri, Katia P. Sycara
CCS
2010
ACM
13 years 8 months ago
Securing wireless sensor networks against large-scale node capture attacks
Securing wireless sensor networks against node capture is a challenging task. All well-known random key pre-distribution systems, including the Eschenauer and Gligor's pionee...
Tuan Manh Vu, Reihaneh Safavi-Naini, Carey William...
CONEXT
2009
ACM
13 years 8 months ago
EZ-Flow: removing turbulence in IEEE 802.11 wireless mesh networks without message passing
Recent analytical and experimental work demonstrate that IEEE 802.11-based wireless mesh networks are prone to turbulence. Manifestations of such turbulence take the form of large...
Adel Aziz, David Starobinski, Patrick Thiran, Alae...