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IJCAI
1989
15 years 7 months ago
Noise-Tolerant Instance-Based Learning Algorithms
Several published reports show that instancebased learning algorithms yield high classification accuracies and have low storage requirements during supervised learning application...
David W. Aha, Dennis F. Kibler
GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
15 years 7 months ago
Memory with memory: soft assignment in genetic programming
Based in part on observations about the incremental nature of most state changes in biological systems, we introduce the idea of Memory with Memory in Genetic Programming (GP), wh...
Nicholas Freitag McPhee, Riccardo Poli
CGF
2006
173views more  CGF 2006»
15 years 6 months ago
C-BDAM - Compressed Batched Dynamic Adaptive Meshes for Terrain Rendering
We describe a compressed multiresolution representation for supporting interactive rendering of very large planar and spherical terrain surfaces. The technique, called Compressed ...
Enrico Gobbetti, Fabio Marton, Paolo Cignoni, Marc...
TSMC
2008
164views more  TSMC 2008»
15 years 6 months ago
Bagging and Boosting Negatively Correlated Neural Networks
In this paper, we propose two cooperative ensemble learning algorithms, i.e., NegBagg and NegBoost, for designing neural network (NN) ensembles. The proposed algorithms incremental...
Md. Monirul Islam, Xin Yao, S. M. Shahriar Nirjon,...
BC
1998
58views more  BC 1998»
15 years 6 months ago
Detecting multimodality in saccadic reaction time distributions in gap and overlap tasks
In many cases the distribution of saccadic reaction times (SRT) deviates considerably from a unimodal distribution and may often exhibit several peaks. We present a statistical app...
Stefan Gezeck, Jens Timmer