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BC
2010
163views more  BC 2010»
14 years 11 months ago
Action and behavior: a free-energy formulation
We have previously tried to explain perceptual inference and learning under a free-energy principle that pursues Helmholtz's agenda to understand the brain in terms of energy ...
Karl J. Friston, Jean Daunizeau, James Kilner, Ste...
WSDM
2012
ACM
296views Data Mining» more  WSDM 2012»
13 years 9 months ago
Inferring social ties across heterogenous networks
It is well known that different types of social ties have essentially different influence between people. However, users in online social networks rarely categorize their contact...
Jie Tang, Tiancheng Lou, Jon M. Kleinberg
ASIAMS
2007
IEEE
15 years 7 months ago
Rough-Fuzzy Granulation, Rough Entropy and Image Segmentation
This talk has two parts explaining the significance of Rough sets in granular computing in terms of rough set rules and in uncertainty handling in terms of lower and upper approxi...
Sankar K. Pal
LICS
2006
IEEE
15 years 7 months ago
On the Expressiveness of Linearity vs Persistence in the Asychronous Pi-Calculus
We present an expressiveness study of linearity and persistence of processes. We choose the π-calculus, one of the main representatives of process calculi, as a framework to cond...
Catuscia Palamidessi, Vijay A. Saraswat, Frank D. ...
COCO
2004
Springer
84views Algorithms» more  COCO 2004»
15 years 7 months ago
Properties of NP-Complete Sets
We study several properties of sets that are complete for NP. We prove that if L is an NP-complete set and S ⊇ L is a p-selective sparse set, then L − S is ≤p m-hard for NP....
Christian Glaßer, Aduri Pavan, Alan L. Selma...