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» The Stardinates - Visualizing Highly Structured Data
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ICML
2010
IEEE
15 years 4 months ago
Bottom-Up Learning of Markov Network Structure
The structure of a Markov network is typically learned using top-down search. At each step, the search specializes a feature by conjoining it to the variable or feature that most ...
Jesse Davis, Pedro Domingos
NAR
2006
164views more  NAR 2006»
15 years 3 months ago
FISH - family identification of sequence homologues using structure anchored hidden Markov models
The FISH server is highly accurate in identifying the family membership of domains in a query protein sequence, even in the case of very low sequence identities to known homologue...
Jeanette Tångrot, Lixiao Wang, Bo Kågs...
TMC
2008
91views more  TMC 2008»
15 years 3 months ago
Dynamic Forwarding over Tree-on-DAG for Scalable Data Aggregation in Sensor Networks
Computing and maintaining network structures for efficient data aggregation incurs high overhead for dynamic events where the set of nodes sensing an event changes with time. Moreo...
Kai-Wei Fan, Sha Liu, Prasun Sinha
IWANN
2009
Springer
15 years 9 months ago
Development of Neural Network Structure with Biological Mechanisms
We present an evolving neural network model in which synapses appear and disappear stochastically according to bio-inspired probabilities. These are in general nonlinear functions ...
Samuel Johnson, Joaquín Marro, Jorge F. Mej...
SEMCO
2007
IEEE
15 years 9 months ago
Answering English Questions using Foreign-Language, Semi-Structured Sources
Despite continuing advances in machine translation technology, users who lack familiarity with particular foreign languages have no good way to find information in those languages...
Boris Katz, Gary C. Borchardt, Sue Felshin, Yuan K...