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Nonparametric supervised learning by linear interpolation with maximum entropy

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Elements of Information Theory
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Multivariate Density Estimation
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The Elements of Statistical Learning
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Entropy and Information Theory
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A Probabilistic Theory of Pattern Recognition
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Convergence of Stochastic Processes
inferredcites →https://doi.org/10.1007/978-1-4757-3982-4openalex-snapshot
Entropy and Information Theory
inferredcites →https://doi.org/10.1007/978-3-642-60629-8openalex-snapshot
The Maximum Entropy Method
inferredcites →https://doi.org/10.1007/bfb0081051openalex-snapshot
Differentiation of integrals in Rn
inferredcites →https://doi.org/10.1007/bfb0081986openalex-snapshot
Differentiation of Integrals in Rn
inferredcites →https://doi.org/10.1016/0016-0032(59)90368-0openalex-snapshot
Information theory and statistics
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Multivariate k-nearest neighbor density estimates
inferredcites →https://doi.org/10.1016/0047-259x(84)90022-8openalex-snapshot
Almost surely consistent nonparametric regression from recursive partitioning schemes
inferredcites →https://doi.org/10.1016/0893-6080(88)90049-4openalex-snapshot
Statistical pattern recognition with neural networks
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Pattern Recognition and Neural Networks
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On Bias, Variance, 0/1—Loss, and the Curse-of-Dimensionality
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Discriminatory analysis: Nonparametric discrimination: Consistency properties
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The Philosophy of Peirce
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Savitzky-Golay Smoothing Filters
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Multivariate Density Estimation, Theory, Practice, and Visualbation
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Boundary modification for kernel regression
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Concept learning using complexity regularization
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Minimum complexity density estimation
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Analysis and classification of internal pipeline images
inferredcites →https://doi.org/10.1109/icnn.1988.23829openalex-snapshot
Statistical pattern recognition with neural networks: benchmarking studies
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On the rationale of maximum-entropy methods
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Vector quantization and density estimation
inferredcites →https://doi.org/10.1109/tit.1967.1053964openalex-snapshot
Nearest neighbor pattern classification
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Estimation by the nearest neighbor rule
inferredcites →https://doi.org/10.1109/tit.2005.860448openalex-snapshot
On minimizing distortion and relative entropy
inferredcites →https://doi.org/10.1214/aoms/1177698399openalex-snapshot
Substitution in Conditional Expectation
inferredcites →https://doi.org/10.1214/aoms/1177698408openalex-snapshot
Asymptotically Optimal Bayes and Minimax Procedures in Sequential Estimation
inferredcites →https://doi.org/10.1214/aoms/1177700079openalex-snapshot
A Nonparametric Estimate of a Multivariate Density Function
inferredcites →https://doi.org/10.1214/aop/1176993668openalex-snapshot
Sums of Functions of Nearest Neighbor Distances, Moment Bounds, Limit Theorems and a Goodness of Fit Test
inferredcites →https://doi.org/10.1214/aos/1176343886openalex-snapshot
Consistent Nonparametric Regression
inferredcites →https://doi.org/10.1214/aos/1176345969openalex-snapshot
Optimal Global Rates of Convergence for Nonparametric Regression
inferredcites →https://doi.org/10.1214/ss/1177011002openalex-snapshot
Local Regression: Automatic Kernel Carpentry
inferredcites →https://doi.org/10.2307/1403797openalex-snapshot
Discriminatory Analysis. Nonparametric Discrimination: Consistency Properties
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Probability and Induction.
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Probability and Induction.
inferredcites →https://doi.org/10.2307/2288003openalex-snapshot
Classification and Regression Trees.
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Classification and Regression Trees.
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Convergence of Stochastic Processes.
inferredcites →https://doi.org/10.2307/360513openalex-snapshot
The Philosophy of Peirce: Selected Writings
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The Philosophy of Peirce

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Distance‐based mixture modeling for classification via hypothetical local mapping
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Damage Location by Maximum Entropy Method on a Civil Structure
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Removal of Artifacts in Electroencephalogram Using Adaptive Infomax Algorithm of Blind Source Separation
inferred← citeshttps://doi.org/10.1007/978-3-642-13923-9_20openalex-snapshot
Pulse Waveform Classification Using ERP-Based Difference-Weighted KNN Classifier
inferred← citeshttps://doi.org/10.1007/978-3-642-24958-7_10openalex-snapshot
Multi-Label Weighted k-Nearest Neighbor Classifier with Adaptive Weight Estimation
inferred← citeshttps://doi.org/10.1007/978-981-10-4044-3_11openalex-snapshot
Edit Distance for Pulse Diagnosis
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GeMiBi: A general multiple sources information Bayesian fusion for performance evaluation and an application to HPC cluster
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Structural damage assessment using linear approximation with maximum entropy and transmissibility data
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A novel impact identification algorithm based on a linear approximation with maximum entropy
inferred← citeshttps://doi.org/10.1109/cvpr.2009.5206509openalex-snapshot
Nonparametric discriminant HMM and application to facial expression recognition
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Nonparametric discriminant HMM and application to facial expression recognition
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Beamforming Alternatives for Multi-Channel Transient Acoustic Event Classification
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Functions approximation based on locally learning techniques
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Temporal Exemplar-Based Bayesian Networks for Facial Expression Recognition
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Gaussian ERP Kernel Classifier for Pulse Waveforms Classification
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Quality Assessment of Low Free-Energy Protein Structure Predictions
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Adaptive Local Linear Regression With Application to Printer Color Management
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Optimized Regression for Efficient Function Evaluation
inferred← citeshttps://doi.org/10.1109/tit.2005.860448openalex-snapshot
On minimizing distortion and relative entropy
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Completely Lazy Learning
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Understanding the Constraints in Maximum Entropy Methods for Modeling and Inference
inferred← citeshttps://doi.org/10.1115/1.4005593openalex-snapshot
An Approach to Predict Impact of Proposed Engineering Change Effect
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Learning custom color transformations with adaptive neighborhoods
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Classification of Pulse Waveforms Using Edit Distance with Real Penalty
inferred← citeshttps://doi.org/10.3390/e16052869openalex-snapshot
A Maximum Entropy Approach to Assess Debonding in Honeycomb aluminum Plates
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Impact Location and Quantification on an Aluminum Sandwich Panel Using Principal Component Analysis and Linear Approximation with Maximum Entropy
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Modal Strain Energy-Based Debonding Assessment of Sandwich Panels Using a Linear Approximation with Maximum Entropy
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Monotonic Calibrated Interpolated Look-Up Tables
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Lazy Learning for Nonparametric Locally Weighted Regression
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Similarity-based Classification: Concepts and Algorithms
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