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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 9851–9900 of 10033 papers

TitleStatusHype
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural NetworksCode0
Volumetric Spanners: an Efficient Exploration Basis for Learning—0
Distinction between features extracted using deep belief networks—0
Structure-Aware Dynamic Scheduler for Parallel Machine Learning—0
Generative NeuroEvolution for Deep Learning—0
SOMz: photometric redshift PDFs with self organizing maps and random atlas—0
A Methodology for Player Modeling based on Machine Learning—0
Parkinson's Disease Motor Symptoms in Machine Learning: A Review—0
Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning AlgorithmsCode0
Automated Classification of L/R Hand Movement EEG Signals using Advanced Feature Extraction and Machine Learning—0
bartMachine: Machine Learning with Bayesian Additive Regression Trees—0
Machine Learning Techniques for Intrusion Detection—0
An Algorithmic Theory of Dependent Regularizers, Part 1: Submodular Structure—0
Use of the C4.5 machine learning algorithm to test a clinical guideline-based decision support system—0
Robust Low Rank Kernel Embeddings of Multivariate Distributions—0
A Stability-based Validation Procedure for Differentially Private Machine Learning—0
On the Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization—0
An Approximate, Efficient LP Solver for LP Rounding—0
Combination of Diverse Ranking Models for Personalized Expedia Hotel Searches—0
Spatially-Adaptive Reconstruction in Computed Tomography using Neural Networks—0
Image forgery detection based on the fusion of machine learning and block-matching methods—0
A novel framework for image forgery localization—0
Post-Proceedings of the First International Workshop on Learning and Nonmonotonic Reasoning—0
On the definition of a general learning system with user-defined operators—0
Sampling Based Approaches to Handle Imbalances in Network Traffic Dataset for Machine Learning Techniques—0
Authorship Attribution Using Word Network Features—0
Efficient Information Theoretic Clustering on Discrete Lattices—0
Randomized co-training: from cortical neurons to machine learning and back again—0
Combining Structured and Unstructured Randomness in Large Scale PCA—0
MLI: An API for Distributed Machine Learning—0
The Gaussian Radon Transform and Machine Learning—0
Predicting college basketball match outcomes using machine learning techniques: some results and lessons learned—0
Contraction Principle based Robust Iterative Algorithms for Machine Learning—0
A Comparison of Rule-Based and Machine Learning Methods for Medical Information Extraction—0
Context-Based Chinese Word Segmentation using SVM Machine-Learning Algorithm without Dictionary Support—0
Optimal Hybrid Channel Allocation:Based On Machine Learning Algorithms—0
Structured Convex Optimization under Submodular Constraints—0
GRED: Graph-Regularized 3D Shape Reconstruction from Highly Anisotropic and Noisy Images—0
Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization—0
A Comparism of the Performance of Supervised and Unsupervised Machine Learning Techniques in evolving Awale/Mancala/Ayo Game Player—0
Analysing Quality of English-Hindi Machine Translation Engine Outputs Using Bayesian Classification—0
SKYNET: an efficient and robust neural network training tool for machine learning in astronomy—0
Tagging Scientific Publications using Wikipedia and Natural Language Processing Tools. Comparison on the ArXiv Dataset—0
Unsupervised Induction of Arabic Root and Pattern Lexicons using Machine Learning—0
Machine Learning for Mention Head Detection in Multilingual Coreference Resolution—0
API design for machine learning software: experiences from the scikit-learn projectCode0
Towards Basque Oral Poetry Analysis: A Machine Learning Approach—0
Non-Asymptotic Convergence Analysis of Inexact Gradient Methods for Machine Learning Without Strong Convexity—0
Online and stochastic Douglas-Rachford splitting method for large scale machine learning—0
Pylearn2: a machine learning research libraryCode0
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