Related references
Note: Only part of the references are listed.Machine Learning Testing: Survey, Landscapes and Horizons
Jie M. Zhang et al.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING (2022)
General stochastic separation theorems with optimal bounds
Bogdan Grechuk et al.
NEURAL NETWORKS (2021)
High-Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality
Alexander N. Gorban et al.
ENTROPY (2020)
Generalizing from a Few Examples: A Survey on Few-shot Learning
Yaqing Wang et al.
ACM COMPUTING SURVEYS (2020)
Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence
Huiying Liang et al.
NATURE MEDICINE (2019)
IBM Watson, Heal Thyself
Eliza Strickland
IEEE SPECTRUM (2019)
One-trial correction of legacy AI systems and stochastic separation theorems
Alexander N. Gorban et al.
INFORMATION SCIENCES (2019)
Fast construction of correcting ensembles for legacy Artificial Intelligence systems: Algorithms and a case study
Ivan Yu. Tyukin et al.
INFORMATION SCIENCES (2019)
Independent Component Analysis for Unraveling the Complexity of Cancer Omics Datasets
Nicolas Sompairac et al.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2019)
Functional Safety Verification for Autonomous UGVs-Methodology Presentation and Implementation on a Full-Scale System
Daniel Meltz et al.
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES (2019)
Game Theoretic Modeling of Driver and Vehicle Interactions for Verification and Validation of Autonomous Vehicle Control Systems
Nan Li et al.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2018)
Blessing of dimensionality: mathematical foundations of the statistical physics of data
A. N. Gorban et al.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2018)
Correction of AI systems by linear discriminants: Probabilistic foundations
A. N. Gorban et al.
INFORMATION SCIENCES (2018)
Knowledge Transfer Between Artificial Intelligence Systems
Ivan Y. Tyukin et al.
FRONTIERS IN NEUROROBOTICS (2018)
Highly Automated Vehicles and Self-Driving Cars
Arpad Takacs et al.
IEEE ROBOTICS & AUTOMATION MAGAZINE (2018)
Missing data and technical variability in single-cell RNA-sequencing experiments
Stephanie C. Hicks et al.
BIOSTATISTICS (2018)
Stochastic separation theorems
A. N. Gorban et al.
NEURAL NETWORKS (2017)
Overcoming catastrophic forgetting in neural networks
James Kirkpatricka et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2017)
Stochastic Configuration Networks: Fundamentals and Algorithms
Dianhui Wang et al.
IEEE TRANSACTIONS ON CYBERNETICS (2017)
Approximation with random bases: Pro et Contra
Alexander N. Gorban et al.
INFORMATION SCIENCES (2016)
The Blessing of Dimensionality: Separation Theorems in the Thermodynamic Limit
Alexander N. Gorban et al.
IFAC PAPERSONLINE (2016)
Copy number variation detection and genotyping from exome sequence data
Niklas Krumm et al.
GENOME RESEARCH (2012)
A survey of multilinear subspace learning for tensor data
Haiping Lu et al.
PATTERN RECOGNITION (2011)
Recent development in CNC machining of freeform surfaces: A state-of-the-art review
Ali Lasemi et al.
COMPUTER-AIDED DESIGN (2010)
Training a support vector machine in the primal
Olivier Chapelle
NEURAL COMPUTATION (2007)
Isoperimetry of waists and concentration of maps
M Gromov
GEOMETRIC AND FUNCTIONAL ANALYSIS (2003)
Share Paper
