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» The topology of the independence complex
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118
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ICML
2004
IEEE
16 years 2 months ago
Learning associative Markov networks
Markov networks are extensively used to model complex sequential, spatial, and relational interactions in fields as diverse as image processing, natural language analysis, and bio...
Benjamin Taskar, Vassil Chatalbashev, Daphne Kolle...
103
Voted
PODC
2009
ACM
16 years 2 months ago
A distributed polylogarithmic time algorithm for self-stabilizing skip graphs
Peer-to-peer systems rely on scalable overlay networks that enable efficient routing between its members. Hypercubic topologies facilitate such operations while each node only nee...
Riko Jacob, Andréa W. Richa, Christian Sche...
CHI
2008
ACM
16 years 2 months ago
Picbreeder: evolving pictures collaboratively online
Picbreeder is an online service that allows users to collaboratively evolve images. Like in other Interactive Evolutionary Computation (IEC) programs, users evolve images in Picbr...
Jimmy Secretan, Nicholas Beato
VLSID
2006
IEEE
148views VLSI» more  VLSID 2006»
16 years 2 months ago
Efficient Design and Analysis of Robust Power Distribution Meshes
With increasing design complexity, as well as continued scaling of supplies, the design and analysis of power/ground distribution networks poses a difficult problem in modern IC d...
Puneet Gupta, Andrew B. Kahng
ALT
2001
Springer
15 years 10 months ago
Learning Recursive Functions Refutably
Abstract. Learning of recursive functions refutably means that for every recursive function, the learning machine has either to learn this function or to refute it, i.e., to signal...
Sanjay Jain, Efim B. Kinber, Rolf Wiehagen, Thomas...