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NIPS
2004
13 years 10 months ago
An Application of Boosting to Graph Classification
This paper presents an application of Boosting for classifying labeled graphs, general structures for modeling a number of real-world data, such as chemical compounds, natural lan...
Taku Kudo, Eisaku Maeda, Yuji Matsumoto
FLOPS
2006
Springer
14 years 19 days ago
"Scrap Your Boilerplate" Reloaded
Abstract. The paper "Scrap your boilerplate" (SYB) introduces a combinator library for generic programming that offers generic traversals and queries. Classically, suppor...
Ralf Hinze, Andres Löh, Bruno C. D. S. Olivei...
ESCIENCE
2006
IEEE
14 years 19 days ago
Designing Workflow Components for e-Science
In this paper we present a general domain for the analysis of workflows and workflow components based on the notion of a collection of Turing machines sharing a set of tapes. We s...
Frank Terpstra, Pieter W. Adriaans
GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
14 years 26 days ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
TMI
2002
248views more  TMI 2002»
13 years 8 months ago
Adaptive Elastic Segmentation of Brain MRI via Shape Model Guided Evolutionary Programming
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Alain Pitiot, Arthur W. Toga, Paul M. Thompson