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» Using Clustering Methods for Discovering Event Structures
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145
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SDM
2007
SIAM
143views Data Mining» more  SDM 2007»
15 years 5 months ago
Patterns of Cascading Behavior in Large Blog Graphs
How do blogs cite and influence each other? How do such links evolve? Does the popularity of old blog posts drop exponentially with time? These are some of the questions that we ...
Jure Leskovec, Mary McGlohon, Christos Faloutsos, ...
94
Voted
COGSCI
2004
53views more  COGSCI 2004»
15 years 3 months ago
On the spontaneous discovery of a mathematical relation during problem solving
People spontaneously discover new representations during problem solving. Discovery of a mathematical representation is of special interest, because it shows that the underlying s...
James A. Dixon, Ashley S. Bangert
ISBRA
2007
Springer
15 years 9 months ago
Coclustering Based Parcellation of Human Brain Cortex Using Diffusion Tensor MRI
The fundamental goal of computational neuroscience is to discover anatomical features that reflect the functional organization of the brain. Investigations of the physical connect...
Cui Lin, Shiyong Lu, Danqing Wu, Jing Hua, Otto Mu...
132
Voted
HT
2003
ACM
15 years 8 months ago
The connectivity sonar: detecting site functionality by structural patterns
Web sites today serve many different functions, such as corporate sites, search engines, e-stores, and so forth. As sites are created for different purposes, their structure and...
Einat Amitay, David Carmel, Adam Darlow, Ronny Lem...
140
Voted
NCI
2004
185views Neural Networks» more  NCI 2004»
15 years 5 months ago
Hierarchical reinforcement learning with subpolicies specializing for learned subgoals
This paper describes a method for hierarchical reinforcement learning in which high-level policies automatically discover subgoals, and low-level policies learn to specialize for ...
Bram Bakker, Jürgen Schmidhuber