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» On Structural Analysis of Large Networks
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ICML
2004
IEEE
16 years 7 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...

Publication
295views
14 years 4 months ago
The Age of Analog Networks.
A large class of systems of biological and technological relevance can be described as analog networks, that is, collections of dynamic devices interconnected by links of varying s...
Claudio Mattiussi, Daniel Marbach, Peter Dürr, Da...
DATE
2007
IEEE
173views Hardware» more  DATE 2007»
16 years 26 days ago
Analytical router modeling for networks-on-chip performance analysis
Networks-on-Chip (NoCs) have recently emerged as a scalable alternative to classical bus and point-to-point architectures. To date, performance evaluation of NoC designs is largel...
Ümit Y. Ogras, Radu Marculescu
MANSCI
2007
107views more  MANSCI 2007»
15 years 6 months ago
Credit Risk in a Network Economy
We develop a structural model of credit risk in a network economy, where any firm can lend to any other firm, so that each firm is subject to counterparty risk either from dire...
Didier Cossin, Henry Schellhorn
ICMLA
2003
15 years 7 months ago
The Consolidation of Neural Network Task Knowledge
— Fundamental to the problem of lifelong machine learning is how to consolidate the knowledge of a learned task within a long-term memory structure (domain knowledge) without the...
Daniel L. Silver, Peter McCracken