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BMCBI
2008
136views more  BMCBI 2008»
15 years 6 months ago
A comparison of machine learning algorithms for chemical toxicity classification using a simulated multi-scale data model
Background: Bioactivity profiling using high-throughput in vitro assays can reduce the cost and time required for toxicological screening of environmental chemicals and can also r...
Richard Judson, Fathi Elloumi, R. Woodrow Setzer, ...
FSKD
2007
Springer
126views Fuzzy Logic» more  FSKD 2007»
16 years 21 days ago
Rough Set Model Selection for Practical Decision Making
One of the challenges a decision maker faces is choosing a suitable rough set model to use for data analysis. The traditional algebraic rough set model classifies objects into th...
Joseph P. Herbert, Jingtao Yao
ICTAI
2006
IEEE
16 years 17 days ago
Learning to Predict Salient Regions from Disjoint and Skewed Training Sets
We present an ensemble learning approach that achieves accurate predictions from arbitrarily partitioned data. The partitions come from the distributed processing requirements of ...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...
ECAI
2004
Springer
15 years 12 months ago
Piece-Wise Model Fitting Using Local Data Patterns
In this paper we propose a novel classification algorithm that fits models of different complexity on separate regions of the input space. The goal is to achieve a balance betwee...
Ricardo Vilalta, Murali-Krishna Achari, Christoph ...
MVA
1990
101views Computer Vision» more  MVA 1990»
15 years 7 months ago
Recognition of Parametrised Models from 3D Data
This paper describes work done as part of the Oxford AGV (Autonomous Guided Vehicle) project [2] towards recognition of classes of objects to be encountered in a factory environme...
Ian D. Reid