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ISMB
2000
15 years 8 months ago
A Probabilistic Learning Approach to Whole-Genome Operon Prediction
We present a computational approach to predicting operons in the genomes of prokaryotic organisms. Our approach uses machine learning methods to induce predictive models for this ...
Mark Craven, David Page, Jude W. Shavlik, Joseph B...
174
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AAAI
1996
15 years 8 months ago
Sequential Inductive Learning
This article advocates a new model for inductive learning. Called sequential induction, it helps bridge classical fixed-sample learning techniques (which are efficient but difficu...
Jonathan Gratch
CGF
2002
116views more  CGF 2002»
15 years 6 months ago
Deferred, Self-Organizing BSP Trees
BSP trees and KD trees are fundamental data structures for collision detection in walkthrough environments. A basic issue in the construction of these hierarchical data structures...
Sigal Ar, Gil Montag, Ayellet Tal
IVC
2002
185views more  IVC 2002»
15 years 6 months ago
Path detection in video surveillance
This paper addresses the problem of automatically extracting frequently used pedestrian pathways from video sequences of natural outdoor scenes. Path models are learnt from the ac...
Dimitrios Makris, Tim Ellis
TSE
2002
71views more  TSE 2002»
15 years 6 months ago
Visualizing Software Changes
A key problem in software engineering is changing the code. We present a sequence of visualizations and visual metaphors designed to help engineers understand and manage the softw...
Stephen G. Eick, Todd L. Graves, Alan F. Karr, Aud...