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» Active learning for directed exploration of complex systems
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95
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ICSE
2007
IEEE-ACM
16 years 21 days ago
Reconceptualizing a Family of Heterogeneous Embedded Systems via Explicit Architectural Support
It has been widely advocated that software architecture an effective set of abstractions for engineering (families of) complex software systems. However, architectural concepts ar...
Sam Malek, Chiyoung Seo, Sharmila Ravula, Brad Pet...
118
Voted
RECOMB
2005
Springer
16 years 28 days ago
Predicting Protein-Peptide Binding Affinity by Learning Peptide-Peptide Distance Functions
Many important cellular response mechanisms are activated when a peptide binds to an appropriate receptor. In the immune system, the recognition of pathogen peptides begins when th...
Chen Yanover, Tomer Hertz
112
Voted
RECOMB
2005
Springer
16 years 28 days ago
The Factor Graph Network Model for Biological Systems
Abstract. We introduce an extended computational framework for studying biological systems. Our approach combines formalization of existing qualitative models that are in wide but ...
Irit Gat-Viks, Amos Tanay, Daniela Raijman, Ron Sh...
105
Voted
IPPS
2009
IEEE
15 years 7 months ago
Implementing and evaluating multithreaded triad census algorithms on the Cray XMT
Commonly represented as directed graphs, social networks depict relationships and behaviors among social entities such as people, groups, and organizations. Social network analysi...
George Chin Jr., Andrès Márquez, Sut...
85
Voted
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 6 months ago
Co-evolving recurrent neurons learn deep memory POMDPs
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
Faustino J. Gomez, Jürgen Schmidhuber