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» Phase Transitions in Relational Learning
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ICML
2004
IEEE
14 years 10 months ago
Using relative novelty to identify useful temporal abstractions in reinforcement learning
lative Novelty to Identify Useful Temporal Abstractions in Reinforcement Learning ?Ozg?ur S?im?sek ozgur@cs.umass.edu Andrew G. Barto barto@cs.umass.edu Department of Computer Scie...
Özgür Simsek, Andrew G. Barto
JAIR
2011
84views more  JAIR 2011»
13 years 4 months ago
Evaluating Temporal Graphs Built from Texts via Transitive Reduction
Temporal information has been the focus of recent attention in information extraction, leading to some standardization effort, in particular for the task of relating events in a t...
Xavier Tannier, Philippe Muller
CORR
1999
Springer
112views Education» more  CORR 1999»
13 years 9 months ago
Learning Transformation Rules to Find Grammatical Relations
Grammatical relationships are an important level of natural language processing. We present a trainable approach to find these relationships through transformation sequences and-e...
Lisa Ferro, Marc B. Vilain, Alexander S. Yeh
HICSS
2003
IEEE
129views Biometrics» more  HICSS 2003»
14 years 3 months ago
The Transitional Role of Institutional Trust in Online Interorganizational Relationships
Given the uncertainty of the online environment, institutional trust is fundamental in building and retaining online interorganizational relationships. The authors propose two typ...
Paul A. Pavlou, Yao-Hua Tan, David Gefen
NIPS
2004
13 years 11 months ago
Spike-timing Dependent Plasticity and Mutual Information Maximization for a Spiking Neuron Model
We derive an optimal learning rule in the sense of mutual information maximization for a spiking neuron model. Under the assumption of small fluctuations of the input, we find a s...
Taro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aiha...