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ICML
1991
IEEE
15 years 4 months ago
Constructive Induction in Knowledge-Based Neural Networks
Artificial neural networks have proven to be a successful, general method for inductive learning from examples. However, they have not often been viewed in terms of constructive ...
Geoffrey G. Towell, Mark Craven, Jude W. Shavlik
WSC
2001
15 years 2 months ago
Simone: large scale train network simulations
This paper describes the architecture and potentials of Simone. Simone is a simulation environment to generate, simulate and analyze complex and large scale train networks. The pu...
Dick Middelkoop, Michiel Bouwman
107
Voted
HYBRID
2001
Springer
15 years 5 months ago
Hybrid Modeling and Simulation of Biomolecular Networks
Abstract. In a biological cell, cellular functions and the genetic regulatory apparatus are implemented and controlled by a network of chemical reactions in which regulatory protei...
Rajeev Alur, Calin Belta, Franjo Ivancic
114
Voted
LCN
2003
IEEE
15 years 6 months ago
ReInForM: Reliable Information Forwarding Using Multiple Paths in Sensor Networks
Sensor networks are meant for sensing and disseminating information about the environment they sense. The criticality of a sensed phenomenon determines it’s importance to the en...
Budhaditya Deb, Sudeept Bhatnagar, Badri Nath
116
Voted
IPSN
2010
Springer
15 years 2 months ago
Hibernets: energy-efficient sensor networks using analog signal processing
In-network processing is recommended for many sensor network applications to reduce communication and improve energy efficiency. However, constraints on memory, speed, and energy ...
Brandon Rumberg, David W. Graham, Vinod Kulathuman...