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» Approximation Algorithms for Some Graph Partitioning Problem...
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APPROX
2008
Springer
134views Algorithms» more  APPROX 2008»
15 years 8 months ago
Inapproximability of Survivable Networks
In the Survivable Network Design Problem (SNDP) one seeks to find a minimum cost subgraph that satisfies prescribed node-connectivity requirements. We give a novel approximation r...
Yuval Lando, Zeev Nutov
IJCNN
2006
IEEE
16 years 13 days ago
A Comparison between Recursive Neural Networks and Graph Neural Networks
— Recursive Neural Networks (RNNs) and Graph Neural Networks (GNNs) are two connectionist models that can directly process graphs. RNNs and GNNs exploit a similar processing fram...
Vincenzo Di Massa, Gabriele Monfardini, Lorenzo Sa...
165
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ESANN
2004
15 years 7 months ago
High-accuracy value-function approximation with neural networks applied to the acrobot
Several reinforcement-learning techniques have already been applied to the Acrobot control problem, using linear function approximators to estimate the value function. In this pape...
Rémi Coulom
AAAI
2008
15 years 8 months ago
Clustering via Random Walk Hitting Time on Directed Graphs
In this paper, we present a general data clustering algorithm which is based on the asymmetric pairwise measure of Markov random walk hitting time on directed graphs. Unlike tradi...
Mo Chen, Jianzhuang Liu, Xiaoou Tang
WEA
2005
Springer
100views Algorithms» more  WEA 2005»
15 years 12 months ago
Rounding to an Integral Program
We present a general framework for approximating several NP-hard problems that have two underlying properties in common. First, the problems we consider can be formulated as intege...
Refael Hassin, Danny Segev