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SDM
2004
SIAM
194views Data Mining» more  SDM 2004»
15 years 2 days ago
Finding Frequent Patterns in a Large Sparse Graph
Graph-based modeling has emerged as a powerful abstraction capable of capturing in a single and unified framework many of the relational, spatial, topological, and other characteri...
Michihiro Kuramochi, George Karypis
NIPS
2003
15 years 2 days ago
Nonlinear Filtering of Electron Micrographs by Means of Support Vector Regression
Nonlinear filtering can solve very complex problems, but typically involve very time consuming calculations. Here we show that for filters that are constructed as a RBF network ...
Roland Vollgraf, Michael Scholz, Ian A. Meinertzha...
SDM
2003
SIAM
156views Data Mining» more  SDM 2003»
15 years 1 days ago
Detection of Underrepresented Biological Sequences using Class-Conditional Distribution Models
A labeled sequence data set related to a certain biological property is often biased and, therefore, does not completely capture its diversity in nature. To reduce this sampling b...
Slobodan Vucetic, Dragoljub Pokrajac, Hongbo Xie, ...
AIPS
2000
15 years 1 days ago
Admissible Heuristics for Optimal Planning
hsp and hspr are two recent planners that search the state-space using an heuristic function extracted from Strips encodings. hsp does a forward search from the initial state reco...
Patrik Haslum, Hector Geffner
ECIS
2000
15 years 1 days ago
Information Filtering and Automatic Keyword Identification by Artificial Neural Networks
Information filtering (IF) systems usually filter data items by correlating a vector of terms (keywords) that represent the user profile with similar vectors of terms that represe...
Zvi Boger, Tsvi Kuflik, Bracha Shapira, Peretz Sho...