- Statistical Physics of Deep Learning: Optimal Learning of a Multilayer Perceptron near Interpolation
2025/10/28 by Jean Barbier, Barbier, Jean, Francesco Camilli +7 · 3 citations
Computer Science · #Artificial neural network #Bayesian probability #Deep learning #Deep neural networks #Feature (linguistics) #Focus (optics) #Interpolation (computer graphics) #Kernel (algebra) #Machine Learning and ELM #Neural Networks and Applications #Optimal design #Perceptron #Phenomenology (philosophy) #Statistical learning #Statistical mechanics #Statistical model #Stochastic Gradient Optimization Techniques
- A Novel Algorithm for Personalized Federated Learning: Knowledge Distillation with Weighted Combination Loss
2025/04/06 by Hengrui Hu, Anai N. Kothari, Hu, Hengrui +3 · 1 citation
Computer Science · #Convergence (economics) #Data Stream Mining Techniques #Distillation #FOS: Computer and information sciences #Federated learning #Independent and identically distributed random variables #MNIST database #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Multinomial logistic regression #Overhead (engineering) #Perceptron #Personalization #Privacy-Preserving Technologies in Data
- pystacked: Stacking generalization and machine learning in Stata
2023/12/01 by Achim Ahrens, Christian Hansen, Mark E. Schaffer · 1 voice · 4 citations
Mathematics · #Arithmetic #Artificial intelligence #Artificial neural network #Base (topology) #Binary classification #Binary number #Computer science #Generalization #Machine learning #Mathematics #Multilayer perceptron #Perceptron #Probability and Statistical Research #Programming language #Python (programming language) #Random forest #Stacking #Statistical Methods and Inference #Statistical and numerical algorithms #Support vector machine
- Pre-training with Synthetic Data Helps Offline Reinforcement Learning
2023/10/01 by Zecheng Wang, Che Wang, Wang, Zecheng +5 · 4 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Artificial intelligence #Artificial neural network #Computer science #Engineering #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Machine learning #Perceptron #Reinforcement learning #Synthetic data #Training (meteorology) #Training set #Transformer
- Auto-Regressive Next-Token Predictors are Universal Learners
2023/09/13 by Eran Malach, Malach, Eran · 2 voices · 20 citations
Computer Science · #Artificial intelligence #Artificial neural network #Computer network #Computer science #Data mining #Function (biology) #Machine Learning and Data Classification #Measure (data warehouse) #Natural Language Processing Techniques #Perceptron #Programming language #Security token #Sequence (biology) #Simple (philosophy) #Task (project management) #Theoretical computer science #Topic Modeling #Turing #cs.CL #cs.LG
- Classification and Online Clustering of Zero-Day Malware
2023/05/01 by Olha Jurečková, Jurečková, Olha, Martin Jureček +4 · 2 citations
Computer Science · #Advanced Malware Detection Techniques #Anomaly Detection Techniques and Applications #Artificial intelligence #Artificial neural network #Cluster (spacecraft) #Cluster analysis #Computer science #Computer security #Cryptography and Security (cs.CR) #Data mining #Data set #FOS: Computer and information sciences #Machine Learning (cs.LG) #Malware #Network Security and Intrusion Detection #Perceptron #Set (abstract data type) #Zero (linguistics)
- Relation between prognostics predictor evaluation metrics and local interpretability SHAP values
2022/02/15 by Márcia L. Baptista, Marcia L. Baptista, Kai Goebel +2 · 29 citations
Computer Science · Decision Sciences · Mathematics · #Adversarial Robustness in Machine Learning #Artificial intelligence #Artificial neural network #Computer science #Data mining #Explainable Artificial Intelligence (XAI) #Field (mathematics) #Forecasting Techniques and Applications #Interpretability #Machine learning #Mathematics #Perceptron #Prognostics #Set (abstract data type)
- Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge
2021/09/02 by Mostafa Jahanifar, Adam Shephard, Jahanifar, Mostafa +13 · 1 citation
Computer Science · Mathematics · #AI in cancer detection #Advanced Neural Network Applications #Artificial intelligence #Artificial neural network #Biology #Classifier (UML) #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Computer vision #FOS: Computer and information sciences #Generalizability theory #Generalization #Machine learning #Mathematics #Medical Image Segmentation Techniques #Pathology #Pattern recognition (psychology) #Perceptron #Robustness (evolution) #Stain #Test set #Training set
- Well-tuned Simple Nets Excel on Tabular Datasets
2021/06/21 by Arlind Kadra, Marius Lindauer, Kadra, Arlind +5 · 1 voice · 21 citations
Computer Science · #Advanced Neural Network Applications #Artificial intelligence #Artificial neural network #Boosting (machine learning) #Computer science #Data mining #Decision tree #Deep neural networks #Gradient boosting #Hyperparameter #Image Enhancement Techniques #Machine Learning and Data Classification #Machine learning #Multilayer perceptron #Perceptron #Random forest #Regularization (linguistics) #cs.LG
- Reverse Differentiation via Predictive Coding
2021/03/08 by Tommaso Salvatori, Yuhang Song, Salvatori, Tommaso +8 · 1 voice · 4 citations
Computer Science · Engineering · Mathematics · Neuroscience · #Advanced Memory and Neural Computing #Algorithm #Artificial intelligence #Artificial neural network #Backpropagation #Coding (social sciences) #Computational neuroscience #Computer science #Deep learning #Inference #Machine learning #Mathematics #Neural Networks and Applications #Neural dynamics and brain function #Perceptron #Predictive coding #Recurrent neural network
- Predictive Coding Approximates Backprop along Arbitrary Computation Graphs
2020/06/07 by Beren Millidge, Millidge, Beren, Alexander Tschantz +3 · 3 voices · 12 citations
Computer Science · Engineering · Mathematics · Neuroscience · #Advanced Memory and Neural Computing #Algorithm #Artificial intelligence #Artificial neural network #Automatic differentiation #Backpropagation #Coding (social sciences) #Computation #Computer science #Differentiable function #Ferroelectric and Negative Capacitance Devices #Graph #Hebbian theory #Machine learning #Mathematics #Models of neural computation #Neural dynamics and brain function #Perceptron #Predictive coding #Theoretical computer science #cs.LG #cs.NE
- Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes
2019/10/28 by Greg Yang, Yang, Greg · 1 voice · 22 citations
Computer Science · Physics and Astronomy · #Advanced Neural Network Applications #Algorithm #Artificial intelligence #Artificial neural network #Computer science #Convolutional neural network #Deep learning #Feed forward #Feedforward neural network #Gaussian #Gaussian Processes and Bayesian Inference #Gaussian process #Machine Learning and Data Classification #Normalization (sociology) #Perceptron #Recurrent neural network #Stochastic neural network #Theoretical computer science #cond-mat.dis-nn #cs.LG #cs.NE #math-ph
- Design of an Always-On Deep Neural Network-Based 1-μ W Voice Activity Detector Aided With a Customized Software Model for Analog Feature Extraction
2019/05/06 by Minhao Yang, Chung-Heng Yeh, Yiyin Zhou +4 · 4 citations
Computer Science · #Artificial intelligence #Artificial neural network #Blind Source Separation Techniques #Computer science #Feature extraction #Music and Audio Processing #Perceptron #Software #Speech and Audio Processing #Speech recognition
- A Constructive Approach for One-Shot Training of Neural Networks Using Hypercube-Based Topological Coverings
2019/01/09 by W. Brent Daniel, Daniel, W. Brent, Enoch Yeung +1 · 2 voices
Computer Science · Mathematics · Medicine · #Advanced Neuroimaging Techniques and Applications #Algorithm #Artificial intelligence #Artificial neural network #Computer science #Constructive #Deep learning #MNIST database #Machine learning #Overfitting #Pattern recognition (psychology) #Perceptron #Tensor decomposition and applications #Topological and Geometric Data Analysis #cs.LG #stat.ML
- Cellular automata as convolutional neural networks
2018/09/09 by William Gilpin · 2 voices · 21 citations
Computer Science · Neuroscience · #Artificial intelligence #Artificial neural network #Cellular Automata and Applications #Cellular automaton #Computer science #Context (archaeology) #Convolutional neural network #Dynamical system (definition) #Dynamical systems theory #ENCODE #Machine learning #Neural Networks and Reservoir Computing #Neural dynamics and brain function #Perceptron #Physics #Representation (politics) #Theoretical computer science
- Perceptrons from memristors
2018/07/13 by F.J.G. Silva, Francisco Silva, Mikel Sanz +5 · 1 voice
Engineering · Neuroscience · #Advanced Memory and Neural Computing #Artificial intelligence #Artificial neural network #Computer science #Electrical engineering #Engineering #Memristor #Neural dynamics and brain function #Pattern recognition (psychology) #Perceptron #Photoreceptor and optogenetics research
- Let a biogeography-based optimizer train your Multi-Layer Perceptron
2014/02/03 by Seyedali Mirjalili, Seyed Mohammad Mirjalili, Andrew Lewis · 18 citations
Computer Science · Mathematics · #Algorithm #Artificial intelligence #Artificial neural network #Backpropagation #Computer science #Convergence (economics) #Heuristic #Initialization #Machine Learning and ELM #Machine learning #Mathematical optimization #Mathematics #Maxima and minima #Metaheuristic Optimization Algorithms Research #Multilayer perceptron #Neural Networks and Applications #Perceptron
- Analysis of Machine learning Techniques Used in Behavior-Based Malware Detection
2010/12/01 by Ivan Firdausi, Charles Lim, Alva Erwin +1 · 1 citation
Computer Science · #Advanced Malware Detection Techniques #Digital and Cyber Forensics #Network Security and Intrusion Detection #Malware #C4.5 algorithm #Computer science #Decision tree #Machine learning #Artificial intelligence #Support vector machine #Naive Bayes classifier #Sandbox (software development) #Artificial neural network #Perceptron #Malware analysis #Multilayer perceptron #Data mining #Computer security #Operating system
- Learning with Drift Detection
2004/01/01 by João Gama, Pedro Medas, Gladys Castillo +2 · 8 citations
Computer Science · Mathematics · #Algorithm #Artificial intelligence #Artificial neural network #Computer science #Concept drift #Context (archaeology) #Data Stream Mining Techniques #Data stream mining #Decision tree #Imbalanced Data Classification Techniques #Machine Learning and Data Classification #Machine learning #Mathematics #Perceptron #Probability distribution #Sequence (biology) #Set (abstract data type) #Statistics #Word error rate
- Neural Computation in Stylometry I: An Application to the Works of Shakespeare and Fletcher
1993/10/01 by Robert Matthews · 3 citations
Computer Science · #Authorship Attribution and Profiling #Stylometry #Artificial neural network #Computer science #Computation #Construct (python library) #Perceptron #Models of neural computation #Noise (video) #Artificial intelligence #Pattern recognition (psychology) #Machine learning #Algorithm
- Isolated word recognition by neural network models with cross-correlation coefficients for speech dynamics
1993/01/01 by Jianxiong Wu, Chorkin Chan · 1 citation
Computer Science · Mathematics · #Neural Networks and Applications #Speech Recognition and Synthesis #Music and Audio Processing #Subnet #Computer science #Speech recognition #Hidden Markov model #Artificial intelligence #Pattern recognition (psychology) #Discriminative model #Artificial neural network #TIMIT #Concatenation (mathematics) #Feature (linguistics) #Multilayer perceptron #Perceptron #Word (group theory) #Mathematics
- Learning representations by back-propagating errors
1986/10/01 by David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams · 15 citations
Computer Science · Engineering · Mathematics · #Algorithm #Artificial intelligence #Artificial neural network #Backpropagation #Blind Source Separation Techniques #Computer science #Control Systems and Identification #Convergence (economics) #Data mining #Domain (mathematical analysis) #Engineering #Mathematics #Measure (data warehouse) #Multilayer perceptron #Neural Networks and Applications #Pattern recognition (psychology) #Perceptron #Task (project management)