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» Network Structuring and Training Using Rule-Based Knowledge
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CIDM
2007
IEEE
15 years 4 months ago
Structure Prediction in Temporal Networks using Frequent Subgraphs
— There are several types of processes which can be modeled explicitly by recording the interactions between a set of actors over time. In such applications, a common objective i...
Mayank Lahiri, Tanya Y. Berger-Wolf
COLING
2000
14 years 11 months ago
Word Sense Disambiguation of Adjectives Using Probabilistic Networks
In this paper, word sense dismnbiguation (WSD) accuracy achievable by a probabilistic classifier, using very milfimal training sets, is investigated. \Ve made the assuml)tiou that...
Gerald Chao, Michael G. Dyer
AINA
2008
IEEE
14 years 11 months ago
Formalization of Link Farm Structure Using Graph Grammar
A link farm is a set of web pages constructed to mislead the importance of target pages in search engine results by boosting their link-based ranking scores. In this paper, we int...
Kiattikun Chobtham, Athasit Surarerks, Arnon Rungs...
COMPSYSTECH
2010
14 years 6 months ago
Integration of neural networks and expert systems for time series prediction
: In this paper an approach for development of univariate time series prediction library in Java and its integration with an existing CLIPS related system is presented .A backpropa...
Ventsislav Nikolov, Valeri Bogdanov
COGSCI
2010
107views more  COGSCI 2010»
14 years 9 months ago
Inferring Hidden Causal Structure
We used a new method to assess how people can infer unobserved causal structure from patterns of observed events. Participants were taught to draw causal graphs, and then shown a ...
Tamar Kushnir, Alison Gopnik, Chris Lucas, Laura S...