Constructive Approach

Constructive approaches in machine learning focus on building models and algorithms to solve specific problems, often by integrating diverse data sources and leveraging pre-trained models for efficiency. Current research emphasizes the use of deep learning architectures, including convolutional neural networks and transformers, alongside techniques like ensemble learning, transfer learning, and meta-learning, to improve model performance and interpretability across various domains. These approaches are proving valuable in diverse applications, ranging from medical image analysis and fake news detection to robotics and space mission planning, demonstrating the broad impact of constructive methodologies on scientific advancement and practical problem-solving.

Papers

November 1, 2022

A Bayesian Learning, Greedy agglomerative clustering approach and evaluation techniques for Author Name Disambiguation Problem
Shashwat Sourav
Constructive Approach Evaluation Method Bayesian Learning Multiple Authorship Additional Disambiguation Task Author Name Greedy SLIM Name Disambiguation

October 30, 2022

Regimes of charged particle dynamics in current sheets: the machine learning approach
Alexander Lukin, Anton Artemyev, Dmitri Vainchtein, Anatoli Petrukovich
New Machine Constructive Approach Chaotic Regime Magnetic Field Particle Dynamic Solar Wind

October 24, 2022

October 21, 2022

October 20, 2022

Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models
Haoyue Dai, Peter Spirtes, Kun Zhang
Constructive Approach Causal Discovery Causal Graph Causal Structure Causal Model Local Independence Measurement Error

October 18, 2022

Taxonomy of Abstractive Dialogue Summarization: Scenarios, Approaches and Future Directions
Qi Jia, Yizhu Liu, Siyu Ren, Kenny Q. Zhu
Constructive Approach Comprehensive Taxonomy Future Direction Multi Scenario Discourse Structure Dialogue Understanding Abstractive Dialogue Summarization Single Document Summarization

October 13, 2022

Two approaches to inpainting microstructure with deep convolutional generative adversarial networks
Isaac Squires, Samuel J. Cooper, Amir Dahari, Steve Kench
Generative Adversarial Network Constructive Approach Microstructure Model Microscopic Image

October 12, 2022

October 6, 2022

October 3, 2022

September 30, 2022

A Multiple Criteria Decision Analysis based Approach to Remove Uncertainty in SMP Models
Gokul Yenduri, Thippa Reddy Gadekallu
Constructive Approach High Uncertainty Anticipation Advanced AI Multi Criterion Decision Heterogeneous System Maintainability Challenge Code Maintainability

September 26, 2022

Generating Compressed Combinatory Proof Structures -- An Approach to Automated First-Order Theorem Proving
Christoph Wernhard
Constructive Approach First Order Proof System Proof Tree

September 22, 2022

Decentralized Distributed Expert Assisted Learning (D2EAL) approach for cooperative target-tracking
Shubhankar Gupta, Suresh Sundaram
Constructive Approach Decentralized Learning Information Fusion Covariance Estimation Heterogeneous Multi Robot Cooperative Target Tracking

September 20, 2022

MAC: A Meta-Learning Approach for Feature Learning and Recombination
S. Tiwari, M. Gogoi, S. Verma, K. P. Singh
Constructive Approach Feature Learning Agnostic Meta learnIng Single Loop Model Recombination Meta Initialization Mac Advice

Constructive Approach

Papers

A Bayesian Learning, Greedy agglomerative clustering approach and evaluation techniques for Author Name Disambiguation Problem

Regimes of charged particle dynamics in current sheets: the machine learning approach

If You Are Careful, So Am I! How Robot Communicative Motions Can Influence Human Approach in a Joint Task

Federated Learning and Meta Learning: Approaches, Applications, and Directions

Gui at MixMT 2022 : English-Hinglish: An MT approach for translation of code mixed data

Integrated Brier Score based Survival Cobra -- A regression based approach

Correlating sparse sensing for large-scale traffic speed estimation: A Laplacian-enhanced low-rank tensor kriging approach

Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models

Taxonomy of Abstractive Dialogue Summarization: Scenarios, Approaches and Future Directions

Two approaches to inpainting microstructure with deep convolutional generative adversarial networks

A Neural Mean Embedding Approach for Back-door and Front-door Adjustment

Multilingual textual data: an approach through multiple factor analysis

Deep Learning Mixture-of-Experts Approach for Cytotoxic Edema Assessment in Infants and Children

CLAD: A Contrastive Learning based Approach for Background Debiasing

Transfer Learning on Electromyography (EMG) Tasks: Approaches and Beyond

Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach

A Multiple Criteria Decision Analysis based Approach to Remove Uncertainty in SMP Models

Generating Compressed Combinatory Proof Structures -- An Approach to Automated First-Order Theorem Proving

Decentralized Distributed Expert Assisted Learning (D2EAL) approach for cooperative target-tracking

MAC: A Meta-Learning Approach for Feature Learning and Recombination