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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 9601–9625 of 10033 papers

TitleStatusHype
The Mondrian Process for Machine LearningCode0
A New Framework for Distributed Submodular Maximization—0
A new boosting algorithm based on dual averaging scheme—0
Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices—0
AutoCompete: A Framework for Machine Learning Competitions—0
AutoCompete: A Framework for Machine Learning Competition—0
A linear approach for sparse coding by a two-layer neural network—0
Revisiting Large Scale Distributed Machine Learning—0
Twitter Sentiment Analysis: Lexicon Method, Machine Learning Method and Their Combination—0
JAIST: A two-phase machine learning approach for identifying discourse relations in newswire texts—0
Machine learning for many-body physics: efficient solution of dynamical mean-field theory—0
Flexible Multi-layer Sparse Approximations of Matrices and Applications—0
Benchmark of structured machine learning methods for microbial identification from mass-spectrometry data—0
Graphs in machine learning: an introduction—0
Advanced statistical methods for eye movement analysis and modeling: a gentle introduction—0
An Iterative Convolutional Neural Network Algorithm Improves Electron Microscopy Image Segmentation—0
Big Data Analytics in Bioinformatics: A Machine Learning Perspective—0
Encog: Library of Interchangeable Machine Learning Models for Java and C#—0
Reservoir Characterization: A Machine Learning Approach—0
On the Error of Random Fourier Features—0
Local Nonstationarity for Efficient Bayesian Optimization—0
Global Gene Expression Analysis Using Machine Learning Methods—0
The Preference Learning Toolbox—0
Exploiting an Oracle that Reports AUC Scores in Machine Learning Contests—0
Multi-Objective Optimization for Self-Adjusting Weighted Gradient in Machine Learning Tasks—0
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Benchmark Results

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1Fb232account and password 100—Unverified