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Connectionist Representations of Tonal Music
Discovering Musical Patterns by Interpreting Artificial Neural Networks...
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Script Effects as the Hidden Drive of the Mind, Cognition, and Culture
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Making AI Intelligible
Philosophical Foundations...
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DTIC ADA116330: The Plastic Response to Monocular Deprivation Persists after Chronic Depletion of No
In order to clarify the role of norepinephrine (NE) in visual cortical plasticity, we monocularly deprived kittens that had received systemic injections of the neurotoxin, 6-hydroxydopamine (6-OHDA), ...
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Make Life Visible
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Tensorflow 2 Tutorial
A somewhat intermediate level intro to Tensorflow 2...
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Micro-, Meso- and Macro-Dynamics of the Brain
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Fulfilling the Promise of Technology Transfer
Fostering Innovation for the Benefit of Society...
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The Big Book of Machine Learning Use Cases
Your complete how-to guide to putting ML to work - plus code samples and notebooks...
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TensorFlow Roadmap
Mastering the TensorFlow by knowing where to start...
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A neural-network-like quantum information processing system
The Hopfield neural networks and the holographic neural networks are models which were successfully simulated on conventional computers. Starting with these models, an analogous fundamental quantum in...
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ERIC ED454816: ICCE/ICCAI 2000 Full & Short Papers (Artificial Intelligence in Education).
This document contains the full and short papers on artificial intelligence in education from ICCE/ICCAI 2000 (International Conference on Computers in Education/International Conference on Computer-A...
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Understanding Human-Centric Images: From Geometry to Fashion
Understanding humans from photographs has always been a fundamental goal of computer vision. In this thesis we have developed a hierarchy of tools that cover a wide range of topics with the objective ...
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AI based Robot Safe Learning and Control
...
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DTIC ADA414700: Expert System for Real-Time Biomonitoring of Environmental Toxicity
Automated biomonitoring systems continuously monitor water quality and provide rapid notification of developing toxicity caused by a wide range of substances. An important goal for biomonitors is to m...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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DTIC ADA603854: Understanding the Function of Tuberous Sclerosis Complex Genes in Neural Development
The goal of our project was to use the fruitfly Drosophila melanogaster, to identify molecular mechanisms affecting nervous system development and behavior that occur as a consequence of Tsc-Tor-Rheb ...
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Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations
We investigate the parameter-space geometry of recurrent neural networks (RNNs), and develop an adaptation of path-SGD optimization method, attuned to this geometry, that can learn plain RNNs with ReL...
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Algorithms for Decision Making
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The Natural Cure of Consumption, Constipation, Bright's Disease, Neuralgia, Rheumatism, "Colds" (Fev
Public domain book available via Project Gutenberg....
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Photometric Redshifts for the Dark Energy Survey and VISTA and Implications for Large Scale Structur
We conduct a detailed analysis of the photometric redshift requirements for the proposed Dark Energy Survey (DES) using two sets of mock galaxy simulations and an artificial neural network code - ANNz...
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The Impact of Digital Technologies on Public Health in Developed and Developing Countries
18th International Conference, ICOST 2020, Hammamet, Tunisia, June 24–26, 2020, Proceedings...
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DTIC ADA310844: The Use of Fuzzy Set Classification for Pattern Recognition of the Polygraph. Volume
This project was completed to determine if fuzzy set classification could be used to accurately evaluate data collected during a psychophysiological detection of deception examination. This methodolog...
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Artificial neural nets and genetic algorithms : proceedings of the international conference in Alè
xv, 528 p. : 28 cm...
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Statistical Learning and Sequential Prediction
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DTIC ADA252755: Feature Detection for Model Assessment in State Estimation
The presence of deterministic features in a residual sequence is oftentimes an indication of a modeling error in the state estimation process. Here, three methods of detecting and extracting the featu...
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Latent Predictor Networks for Code Generation
Many language generation tasks require the production of text conditioned on both structured and unstructured inputs. We present a novel neural network architecture which generates an output sequence ...
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Machine Learning for Cyber Physical Systems
Selected papers from the International Conference ML4CPS 2020...
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The Amazing Journey of Reason
from DNA to Artificial Intelligence...
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Dragon Chip Glasses Blueprint Doc
The Dragon Chip Glasses Cognitive Ecosystem is a revolutionary Class I Medical Device (UK MDR 2002 / EU MDR 2017) designed by Meta Guinea Ghost. It bridges the gap between high-fidelity neural process...
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Physiology, Psychoacoustics and Cognition in Normal and Impaired Hearing
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Adaptive analog VLSI neural systems
vii, 262 pages : 24 cm...
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Python Machine Learning Projects
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An Airplane Image Targets Multi-feature Fusion Recognition Method
This paper proposes an image targets multi-feature fusion recognition method based on probabilistic neural networks (PNN) and Dezert-Smarandache theory (DSmT). To aim at multiple features extracted fr...
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Neuralgia and the diseases that resemble it
Public domain book available via Project Gutenberg....
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An adaptive neural network : the cerebral cortex
vii, 367 p. : 24 cm...
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Understanding Machine Learning
From Theory to Algorithms...
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Speed of complex network synchronization
Synchrony is one of the most common dynamical states emerging on networks. The speed of convergence towards synchrony provides a fundamental collective time scale for synchronizing systems. Here we st...
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A neuro-fuzzy approach for tracking maximum power point of photovoltaic solar system
This work presents a hybrid soft-computing methodology approach for intelligent maximum power point tracking (MPPT) techniques of a photovoltaic (PV) system under any expected operating conditions usi...
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Micro-, Meso- and Macro-Connectomics of the Brain
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Brain and Human Body Modeling 2020
Computational Human Models Presented at EMBC 2019 and the BRAIN Initiative® 2019 Meeting...
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Earth Observation Open Science and Innovation
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Artificial Intelligence in Medical Imaging
Opportunities, Applications and Risks...
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DTIC ADA428891: Consistency Results for the ROC Curves of Fused Classifiers
The U.S. Air Force is researching the fusion of multiple classifiers. Given a finite collection of classifiers to be fused, one seeks a new classifier with improved performance. An established perform...
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Machine Learning Yearning
Technical Strategy for AI Engineers, In the Era of Deep Learning...
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Multiple-Aspect Analysis of Semantic Trajectories
First International Workshop, MASTER 2019, Held in Conjunction with ECML-PKDD 2019, Würzburg, Germany, September 16, 2019, Proceedings...
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Automated Machine Learning
Methods, Systems, Challenges...
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Representation Learning for Natural Language Processing
...
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