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» Convergence analysis of online algorithms
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IJCNN
2006
IEEE
15 years 4 months ago
Divide and Conquer Strategies for MLP Training
— Over time, neural networks have proven to be extremely powerful tools for data exploration with the capability to discover previously unknown dependencies and relationships in ...
Smriti Bhagat, Dipti Deodhare
CONEXT
2006
ACM
15 years 3 months ago
Using forgetful routing to control BGP table size
Running the Border Gateway Protocol (BGP), the Internet’s interdomain routing protocol, consumes a large amount of memory. A BGP-speaking router typically stores one or more rou...
Elliott Karpilovsky, Jennifer Rexford
NIPS
1994
14 years 11 months ago
Reinforcement Learning with Soft State Aggregation
It is widely accepted that the use of more compact representations than lookup tables is crucial to scaling reinforcement learning (RL) algorithms to real-world problems. Unfortun...
Satinder P. Singh, Tommi Jaakkola, Michael I. Jord...
IOR
2008
148views more  IOR 2008»
14 years 10 months ago
A Game-Theoretic Approach to Efficient Power Management in Sensor Networks
Wireless sensor networks pose numerous fundamental coordination problems. For instance, in a number of application domains including homeland security, environmental monitoring an...
Enrique Campos-Náñez, Alfredo Garcia...
CVPR
2011
IEEE
14 years 5 months ago
Multiobject Tracking as Maximum Weight Independent Set
This paper addresses the problem of simultaneous tracking of multiple targets in a video. We first apply object detectors to every video frame. Pairs of detection responses from ...
William Brendel, Mohamed Amer, Sinisa Todorovic