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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 9501–9550 of 10033 papers

TitleStatusHype
Using machine learning for medium frequency derivative portfolio trading—0
Domain Adaptation and Transfer Learning in StochasticNets—0
Oracle inequalities for ranking and U-processes with Lasso penalty—0
Cloud-based Electronic Health Records for Real-time, Region-specific Influenza Surveillance—0
Quantum assisted Gaussian process regression—0
Norm-Free Radon-Nikodym Approach to Machine Learning—0
Online Gradient Descent in Function Space—0
Speeding Up Distributed Machine Learning Using Codes—0
Gauss quadrature for matrix inverse forms with applications—0
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed SystemsCode0
Predicting the top and bottom ranks of billboard songs using Machine Learning—0
Softstar: Heuristic-Guided Probabilistic Inference—0
Isolated Word Recognition System for Malayalam using Machine Learning—0
NEXT: A System for Real-World Development, Evaluation, and Application of Active Learning—0
Self-Calibration of Optical Lenses—0
Hidden Technical Debt in Machine Learning Systems—0
Monotone k-Submodular Function Maximization with Size Constraints—0
POS Tagging of Hindi-English Code Mixed Text from Social Media: Some Machine Learning Experiments—0
Position paper: a general framework for applying machine learning techniques in operating room—0
Machine Learning Sentiment Prediction based on Hybrid Document Representation—0
Designing High-Fidelity Single-Shot Three-Qubit Gates: A Machine Learning Approach—0
Distributed Machine Learning via Sufficient Factor Broadcasting—0
An Introduction to Convolutional Neural NetworksCode0
CNNdroid: GPU-Accelerated Execution of Trained Deep Convolutional Neural Networks on AndroidCode0
Understanding Music Playlists—0
Universal halting times in optimization and machine learning—0
A Unified Gradient Regularization Family for Adversarial Examples—0
Predicting online user behaviour using deep learning algorithms—0
Robust Classification by Pre-conditioned LASSO and Transductive Diffusion Component Analysis—0
Using Machine Learning to Predict the Outcome of English County twenty over Cricket Matches—0
Sacrificing information for the greater good: how to select photometric bands for optimal accuracyCode0
Return of Frustratingly Easy Domain AdaptationCode0
The Use of Machine Learning Algorithms in Recommender Systems: A Systematic Review—0
Learning about Spanish dialects through Twitter—0
Performing Highly Accurate Predictions Through Convolutional Networks for Actual Telecommunication Challenges—0
Distillation as a Defense to Adversarial Perturbations against Deep Neural NetworksCode0
Standard methods for inexpensive pollen loads authentication by means of computer vision and machine learning—0
Sliced Wasserstein Kernels for Probability Distributions—0
The CTU Prague Relational Learning Repository—0
Efficient Construction of Local Parametric Reduced Order Models Using Machine Learning Techniques—0
Learning Linguistic Biomarkers for Predicting Mild Cognitive Impairment using Compound Skip-grams—0
Review-Level Sentiment Classification with Sentence-Level Polarity Correction—0
ALOJA-ML: A Framework for Automating Characterization and Knowledge Discovery in Hadoop Deployments—0
Neutralized Empirical Risk Minimization with Generalization Neutrality Bound—0
An Empirical Study on Sentiment Classification of Chinese Review using Word Embedding—0
Robust Registration of Calcium Images by Learned Contrast SynthesisCode0
Large-scale probabilistic predictors with and without guarantees of validityCode0
Regional Active Contours based on Variational level sets and Machine Learning for Image Segmentation—0
Gaussian Process Random FieldsCode0
The Singular Value Decomposition, Applications and Beyond—0
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Benchmark Results

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