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WIRN
2005
Springer
14 years 3 months ago
Recursive Neural Networks and Graphs: Dealing with Cycles
Recursive neural networks are a powerful tool for processing structured data. According to the recursive learning paradigm, the input information consists of directed positional ac...
Monica Bianchini, Marco Gori, Lorenzo Sarti, Franc...
ERLANG
2004
ACM
14 years 3 months ago
Flow graphs for testing sequential Erlang programs
Testing of software components during development is a heavily used approach to detect programming errors and to evaluate the quality of software. Systematic approaches to softwar...
Manfred Widera
AAAI
2004
13 years 11 months ago
A General Solution to the Graph History Interaction Problem
Since the state space of most games is a directed graph, many game-playing systems detect repeated positions with a transposition table. This approach can reduce search effort by ...
Akihiro Kishimoto, Martin Müller 0003
WWW
2009
ACM
14 years 10 months ago
Combining anchor text categorization and graph analysis for paid link detection
In order to artificially boost the rank of commercial pages in search engine results, search engine optimizers pay for links to these pages on other websites. Identifying paid lin...
Kirill Nikolaev, Ekaterina Zudina, Andrey Gorshkov
ILP
2003
Springer
14 years 2 months ago
Graph Kernels and Gaussian Processes for Relational Reinforcement Learning
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
Thomas Gärtner, Kurt Driessens, Jan Ramon