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Relevance vector machine
Advanced Topics in Learning and Vision
Dropout-Based Automatic Relevance Determination
Healing the Relevance Vector Machine Through Augmentation
Sparse Bayesian Classification with the Relevance Vector Machine
Visual Sparse Bayesian Reinforcement Learning: a Framework for Interpreting What an Agent Has Learned
Modular Meta-Learning with Shrinkage
Sparse Bayesian Learning for Predicting Phenotypes and Identifying Influential Markers
Arxiv:1911.06028V2 [Cs.LG] 7 May 2021
A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides
Software Reliability Prediction Via Relevance Vector Regression
Automatic Machine Learning Derived from Scholarly Big Data
An Integrated Transfer Learning and Multitask Learning Approach For
Getting Started with Machine Learning
Tra C Flow Prediction with Relevance Vector Machine
Enhancing Partially Labelled Data: Self Learning and Word Vectors in Natural Language Processing
Gaussian Processes and Relevance Vector Machines
Decision-Images for Gender Classification
Sparse: Sparse Architecture Search for Cnns on Resource-Constrained Microcontrollers
Top View
Relevance Vector Machine Applied to EEG Signals Classification Sandro Chagas, Marcio Eisencraft, Clodoaldo Ap
Modular Meta-Learning with Shrinkage
Spam Detection in Short Message Service Using Natural Language Processing and Machine Learning Techniques
Neural Networks for Classification and Optimization
Ultra-Short-Term Photovoltaic Power Prediction Based on VMD-LSTM- RVM Model
A Direct Method for Building Sparse Kernel Learning Algorithms
Using Relevance Vector Machines Approach for Prediction of Total Suspended Solids and Turbidity to Sustain Water Quality and Wildlife in Mud Lake
Topics in Representation Learning
Neural Bus Networks Cooper Stokes Sloan
Robust Reinforcement Learning with Relevance Vector Machines
Deep Generative Models for Image Representation Learning
Vector Machine Techniques for Modeling of Seismic Liquefaction Data
A Novel Second Order Radial Basis Function Neural Network Technique for Enhanced Load Forecasting of Photovoltaic Power Systems
Recurrent Support and Relevance Vector Machines Based Model with Application to Forecasting Volatility of Financial Returns
Proposing a Localized Relevance Vector Machine for Pattern Classification
The Relevance Vector Machine
Magnetic Resonance Images Classification Through Relevance Vector Machine
Sparse Bayesian Learning and the Relevance Vector Machine
Prediction of Maximum Surface Settlement Caused by Earth Pressure Balance Shield Tunneling Using Random Forest
Automated Screening Methods for Mental and Neuro-Developmental Disorders
A Machine Learning Framework for Prediction of Diagnostic Trouble Codes in Automobiles Pages of Study: 86
Multi-Adaptive Spatiotemporal-Flow Graph Neural Network For
Sparse Bayesian Reinforcement Learning
Frameworks for Distributed Big Data Processing: a Comparison in the Domain of Predictive Maintenance
Kernel Methods in Remote Sensing: a Review Mahesh Pal Assistant Professor Department of Civil Engineering NIT Kurukshetra, 136119 Mpce
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