Remembrance of circuits past: macromodeling by data mining in large analog design spaces
Proceedings of the 39th annual Design Automation Conference
Density-Based Multiscale Data Condensation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Probabilistic Approach to Collaborative Multi-Robot Localization
Autonomous Robots
Collaborative Multi-robot Localization
KI '99 Proceedings of the 23rd Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
A Classification Based Similarity Metric for 3D Image Retrieval
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Theoretical and Empirical Analysis of ReliefF and RReliefF
Machine Learning
Minds and Machines
Flexible neural trees ensemble for stock index modeling
Neurocomputing
Optimal multilinear estimation of a random vector under constraints of causality and limited memory
Computational Statistics & Data Analysis
Journal of Intelligent and Robotic Systems
Cached sufficient statistics for efficient machine learning with large datasets
Journal of Artificial Intelligence Research
Bayesian network classification using spline-approximated kernel density estimation
Pattern Recognition Letters
Accurate interpolation in appearance-based pose estimation
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
On the Use of Machine Learning to Predict the Time and Resources Consumed by Applications
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Autonomous Helicopter Aerobatics through Apprenticeship Learning
International Journal of Robotics Research
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
The anchors hierarchy: using the triangle inequality to survive high dimensional data
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
A fast calculation of metric scores for learning Bayesian network
International Journal of Automation and Computing
When classification becomes a problem: using branch-and-bound to improve classification efficiency
MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition
MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition
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