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Algorithms for approximation
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Local Adaptive Subspace Regression
Neural Processing Letters
Machine Learning
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Applied Intelligence
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Statistical Learning for Humanoid Robots
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Cluster Computing
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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ECML '00 Proceedings of the 11th European Conference on Machine Learning
Tools and Techniques for Measuring and Improving Grid Performance
IWDC '02 Proceedings of the 4th International Workshop on Distributed Computing, Mobile and Wireless Computing
A Soft Computing Approach for Toxicity Prediction
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A Hierarchy of Qualitative Representations for Space
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ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
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ISMIS '00 Proceedings of the 12th International Symposium on Foundations of Intelligent Systems
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Proceedings of the First International Conference on The Human Society and the Internet - Internet Related Socio-Economic Issues
Advanced Local Feature Selection in Medical Diagnostics
CBMS '00 Proceedings of the 13th IEEE Symposium on Computer-Based Medical Systems (CBMS'00)
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CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
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Instance-Based Regression by Partitioning Feature Projections
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ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
LESS: A Model-Based Classifier for Sparse Subspaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nearest neighbour approach in the least-squares data imputation algorithms
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Artificial Intelligence Review
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ICML '05 Proceedings of the 22nd international conference on Machine learning
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Local bagging of decision stumps
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Non-strict heterogeneous Stacking
Pattern Recognition Letters
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Intelligent Data Analysis
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International Journal of Robotics Research
Application of wrapper approach and composite classifier to the stock trend prediction
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AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Agent's actions as a classification criteria for the state space in a learning from rewards system
Journal of Experimental & Theoretical Artificial Intelligence
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Neural Processing Letters
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The kNN-TD Reinforcement Learning Algorithm
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Combining Time and Space Similarity for Small Size Learning under Concept Drift
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Error bounds for approximate value iteration
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Geometric variance reduction in Markov chains: application to value function and gradient estimation
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ILK: machine learning of semantic relations with shallow features and almost no data
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Improved heterogeneous distance functions
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Predicting the execution time of grid workflow applications through local learning
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A proposed method of local feature-weighting to improve predictions of basic nearest neighbor rule
ASC '07 Proceedings of The Eleventh IASTED International Conference on Artificial Intelligence and Soft Computing
Multi-objective optimization with controlled model assisted evolution strategies
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Learning and adaptation of a policy for dynamic order acceptance in make-to-order manufacturing
Computers and Industrial Engineering
Active learning for sensorimotor coordinations of autonomous robots
HSI'09 Proceedings of the 2nd conference on Human System Interactions
Online learning in Markov decision processes with arbitrarily changing rewards and transitions
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Uncertainty of constraint function in evolutionary multi-objective optimization
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Interactive learning of the acoustic properties of household objects
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
k-nearest neighbor Monte-Carlo control algorithm for POMDP-based dialogue systems
SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Twin Gaussian Processes for Structured Prediction
International Journal of Computer Vision
On the simplification of an examples-based controller with support vector machines
Control and Intelligent Systems
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SIMPAR'10 Proceedings of the Second international conference on Simulation, modeling, and programming for autonomous robots
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Invariant feature set generation with the linear manifold self-organizing map
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One Dependence Value Difference Metric
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A fast hybrid classification algorithm based on the minimum distance and the k-NN classifiers
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Evolving linear transformations with a rotation-angles/scaling representation
Expert Systems with Applications: An International Journal
Grey relational grade in local support vector regression for financial time series prediction
Expert Systems with Applications: An International Journal
Local meta-models for optimization using evolution strategies
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Effective probability forecasting for time series data using standard machine learning techniques
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Blind signal separation of similar pitches and instruments in a noisy polyphonic domain
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Kernel regression based short-term load forecasting
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Multinomial naive bayes for text categorization revisited
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This paper surveys locally weighted learning, a form of lazy learning andmemory-based learning, and focuses on locally weighted linear regression.The survey discusses distance functions, smoothing parameters, weightingfunctions, local model structures, regularization of the estimates and bias,assessing predictions, handling noisy data and outliers, improving thequality of predictions by tuning fit parameters, interference between oldand new data, implementing locally weighted learning efficiently, andapplications of locally weighted learning. A companion paper surveys howlocally weighted learning can be used in robot learning and control.