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Teaching Key Machine Learning Principles Using Anti-Learning Datasets

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What this work says

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

inferredcites →https://doi.org/10.1007/11564089_8openalex-extracted

An Analysis of the Anti-learning Phenomenon for the Class Symmetric Polyhedron

inferredcites →https://doi.org/10.1007/3-540-49257-7_15openalex-extracted

When Is “Nearest Neighbor” Meaningful?

inferredcites →https://doi.org/10.1007/978-3-540-74976-9_19openalex-extracted

Classification of Anti-learnable Biological and Synthetic Data

inferredcites →https://doi.org/10.1007/978-3-540-79452-3_2openalex-extracted

Global Learning vs. Local Learning

inferredcites →https://doi.org/10.1109/icsmc.2012.6377825openalex-extracted

Supervised learning and anti-learning of colorectal cancer classes and survival rates from cellular biology parameters

inferredcites →https://doi.org/10.1109/iwads.2002.1194667openalex-extracted

Analysis and study of perceptron to solve XOR problem

inferredcites →https://doi.org/10.1145/1656274.1656278openalex-extracted

The WEKA data mining software

inferredcites →https://doi.org/10.48550/arxiv.1302.4964openalex-extracted

Estimating Continuous Distributions in Bayesian Classifiers

inferredcites →https://doi.org/10.7551/mitpress/1130.003.0016openalex-extracted

Fast Training of Support Vector Machines Using Sequential Minimal Optimization

inferredcites →https://doi.org/10.2139/ssrn.2828496openalex-snapshot

Biomarker Clustering of Colorectal Cancer Data to Complement Clinical Classification

inferredcites →https://doi.org/10.3897/bdj.2.e1071.suppl11openalex-snapshot

Supplementary material 11 from: Dikow T, Leon S (2014) Review of the genus Namadytes Hesse, 1969 (Insecta: Diptera: Mydidae: Syllegomydinae). Biodiversity Data Journal 2: e1071. https://doi.org/10.3897/BDJ.2.e1071

What points at this work

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

inferred← citeshttps://doi.org/10.1155/2021/4298439openalex-snapshot

Research on the Artificial Intelligence Teaching System Model for Online Teaching of Classical Music under the Support of Wireless Networks

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