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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 9451–9500 of 10033 papers

TitleStatusHype
Identifiability of an X-rank decomposition of polynomial maps—0
Equity forecast: Predicting long term stock price movement using machine learning—0
Molecular Graph Convolutions: Moving Beyond FingerprintsCode0
Harnessing disordered quantum dynamics for machine learning—0
Category Theoretic Analysis of Photon-based Decision Making—0
vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network DesignCode0
A Survey on Domain-Specific Languages for Machine Learning in Big Data—0
Lens depth function and k-relative neighborhood graph: versatile tools for ordinal data analysis—0
Computational Narrative Intelligence: A Human-Centered Goal for Artificial Intelligence—0
A Mutual Contamination Analysis of Mixed Membership and Partial Label Models—0
Stacking for machine learning redshifts applied to SDSS galaxies—0
What is the distribution of the number of unique original items in a bootstrap sample?—0
Primal-Dual Rates and Certificates—0
Machine olfaction using time scattering of sensor multiresolution graphs—0
Second-Order Stochastic Optimization for Machine Learning in Linear TimeCode1
Poor starting points in machine learning—0
Parameterizing Region Covariance: An Efficient Way To Apply Sparse Codes On Second Order Statistics—0
Practical Black-Box Attacks against Machine LearningCode1
ERBlox: Combining Matching Dependencies with Machine Learning for Entity Resolution—0
Daleel: Simplifying Cloud Instance Selection Using Machine Learning—0
Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters—0
An Overview of Melanoma Detection in Dermoscopy Images Using Image Processing and Machine Learning—0
Parameterized Machine Learning for High-Energy PhysicsCode0
Automating biomedical data science through tree-based pipeline optimizationCode0
Predicting Drug Interactions and Mutagenicity with Ensemble Classifiers on Subgraphs of Molecules—0
Quantum machine learning with glow for episodic tasks and decision games—0
Unsupervised Learning in Neuromemristive Systems—0
Sentiment Analysis of Twitter Data: A Survey of Techniques—0
Nonlinear variable selection with continuous outcome: a nonparametric incremental forward stagewise approach—0
Engineering Safety in Machine Learning—0
Dynamic Privacy For Distributed Machine Learning Over Network—0
EvoGrader: an online formative assessment tool for automatically evaluating written evolutionary explanations—0
Creativity in Machine Learning—0
Identifying Stable Patterns over Time for Emotion Recognition from EEG—0
State Space representation of non-stationary Gaussian Processes—0
Automatic Prediction of Morphosemantic Relations—0
ExploreKit: Automatic Feature Generation and SelectionCode0
Strategies and Principles of Distributed Machine Learning on Big Data—0
Evaluating Go Game Records for Prediction of Player Attributes—0
Statistical Query Algorithms for Mean Vector Estimation and Stochastic Convex Optimization—0
Mining Massive Hierarchical Data Using a Scalable Probabilistic Graphical Model—0
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
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