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ICML
1994
IEEE
15 years 1 months ago
Efficient Algorithms for Minimizing Cross Validation Error
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
Andrew W. Moore, Mary S. Lee
ML
2002
ACM
163views Machine Learning» more  ML 2002»
14 years 9 months ago
Structural Modelling with Sparse Kernels
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
Steve R. Gunn, Jaz S. Kandola
IROS
2008
IEEE
101views Robotics» more  IROS 2008»
15 years 4 months ago
Spatial macroscopic models of a bio-inspired robotic swarm algorithm
— We present a comparative study of two spatially resolved macroscopic models of an autonomous robotic swarm. In previous experiments, the collective behavior of 15 autonomous sw...
Heiko Hamann, Heinz Wörn, Karl Crailsheim, Th...
CIBCB
2007
IEEE
15 years 1 months ago
Genetic Regulatory Network Modeling Using Network Component Analysis and Fuzzy Clustering
Gene regulatory network model is the most widely used mechanism to model and predict the behavior of living organisms. Network Component Analysis (NCA) as an emerging issue for unc...
Fatemeh Bakouie, Mohammad Hassan Moradi
CODES
2006
IEEE
15 years 4 months ago
Accurate yet fast modeling of real-time communication
Accurate modeling of communication is a necessary part of system level design for real-time safety-critical applications. For efficient prediction of a system’s performance, Tra...
Gunar Schirner, Rainer Dömer