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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
A Probabilistic Machine Learning Approach to Detect Industrial Plant Faults—0
Optimal Black-Box Reductions Between Optimization Objectives—0
One-Shot Generalization in Deep Generative Models—0
Accelerating a hybrid continuum-atomistic fluidic model with on-the-fly machine learning—0
Controlling Search in Very large Commonsense Knowledge Bases: A Machine Learning Approach—0
Rapid building detection using machine learning—0
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed SystemsCode0
Starting Small -- Learning with Adaptive Sample Sizes—0
Stochastic dual averaging methods using variance reduction techniques for regularized empirical risk minimization problems—0
Note on the equivalence of hierarchical variational models and auxiliary deep generative models—0
Grading of Mammalian Cumulus Oocyte Complexes using Machine Learning for in Vitro Embryo Culture—0
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
Category Theoretic Analysis of Photon-based Decision Making—0
Harnessing disordered quantum dynamics for machine learning—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
Stacking for machine learning redshifts applied to SDSS galaxies—0
A Mutual Contamination Analysis of Mixed Membership and Partial Label Models—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
Poor starting points in machine learning—0
Parameterizing Region Covariance: An Efficient Way To Apply Sparse Codes On Second Order Statistics—0
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
Parameterized Machine Learning for High-Energy PhysicsCode0
Automating biomedical data science through tree-based pipeline optimizationCode0
An Overview of Melanoma Detection in Dermoscopy Images Using Image Processing and Machine Learning—0
Quantum machine learning with glow for episodic tasks and decision games—0
Unsupervised Learning in Neuromemristive Systems—0
Predicting Drug Interactions and Mutagenicity with Ensemble Classifiers on Subgraphs of Molecules—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
Statistical Query Algorithms for Mean Vector Estimation and Stochastic Convex Optimization—0
Evaluating Go Game Records for Prediction of Player Attributes—0
Mining Massive Hierarchical Data Using a Scalable Probabilistic Graphical Model—0
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