Search Results - "deep learning"

Deep learning and linguistic representation / by Lappin, Shalom

Table of Contents: “…5.2 MACHINE LEARNING MODELS VS FORMAL GRAMMAR5.3 EXPLAINING LANGUAGE ACQUISITION 5.4 DEEP LEARNING AND DISTRIBUTIONAL SEMANTICS 15.5 SUMMARY AND CONCLUSIONS Chapter 6 Conclusions and Future Work 6.1 REPRESENTING SYNTACTIC AND SEMANTIC KNOWLEDGE6.2 DOMAIN SPECIFIC LEARNING BIASES AND LANGUAGE ACQUISITION 6.3 DIRECTIONS FOR FUTURE WORK REFERENCES Author IndexSubject Index…”
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Deep learning in computer vision : principles and applications /

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AI and deep learning in biometric security : trends, potential, and challenges /

Table of Contents: “…Deep learning based hyperspectral multimodal biometric authentication system using palmprint and dorsal hand vein / Shuping Zhao, Wei Nie, Bob Zhang -- Cancelable biometrics for template protection: Future directives with deep learning / Avantika Singh, Gaurav Jaswal, Aditya Nigam -- On training generative adversarial network for enhancement of latent fingerprints / Indu Joshi, Adithya Anand, Sumantra D Roy and Prem K Kalra.…”
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Deep learning for remote sensing images with open source software / by Cresson, Rémi

Table of Contents: “…Deep learning backgrounds -- Software -- Data used : the Tokyo dataset -- A simple convolutional neural network -- Fully convolutional neural network -- Classifiers on deep features -- Dealing with multiple sources -- Semantic segmentation of optical imagery -- Data used : the Amsterdam dataset -- Mapping buildings -- Gap filling of optical images : principle -- The Marmande dataset -- Pre-processing -- Model training -- Inference.…”
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Artificial intelligence trends for data analytics using machine learning and deep learning approaches /

Table of Contents: “…Alamelu -- Object detection and tracking in video using deep learning techniques : A review / Dhivya Praba R, Kavitha K.…”
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Smart agriculture : emerging pedagogies of deep learning, machine learning and Internet of Things /

Table of Contents: “…Machine learning and deep learning in agriculture, Descriptive and predictive analytics of agricultural data using machine learning algorithms, Discrimination between weed and crop via image analysis using machine learning algorithm, Bio-inspired optimization algorithms for machine learning in agriculture applications, Agricultural modernization with forecasting stages and machine learning, Classification of segmented image using increased global contrast for Paddy plant disease, IOT in agriculture: Survey on technology, challenges and future scope, Role of IoT in sustainable farming,Smart farming: Crop models and decision support systems using IOT, Smart irrigation in farming using internet of things, Automation systems in agriculture via IOT, A complete automated solution for farm field and garden nurture using internet of things, Machine intelligence techniques for agricultural production: Case study with tomato leaf disease detection, Clock signal and its attribute for agriculture.…”
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Big data war : how to survive global big data competition / by Park, Patrick H.

Subjects: An electronic book accessible through the World Wide Web; click to view

Big Data Analytics : Tools and Technology for Effective Planning.

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Artificial Intelligence for Autonomous Networks /

Table of Contents: “…Machine Learning, Deep Learning, Artificial Intelligence --Michael Lanzetta --…”
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Big Data Analytics : A Social Network Approach /

Table of Contents: “…Tripathy, Sooraj T.R., and RK Mohanty -- Analysis of Deep Learning Tools and Applications in e-Healthcare -- Rojalina Priyadarshini, Rabindra K. …”
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Mathematics and R programming for machine learning : from the ground up / by Claster, William B.

Table of Contents: “…Modular Version of Neural Networks for Deep Learning. Chapter 15. Deep Learning with Convolutional Neural Networks. …”
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Advanced data science and analytics with Python / by Rogel-Salazar, Jesus

Table of Contents: “…1.No Time To Lose: Time Series Analysis2.Speaking Naturally: Text and Natural Language Processing3.Let Us Get Social: Graph Theory and Social Network Analysis4.Thinking Deeply: Neural Networks and Deep Learning5.Here Is One I Made Earlier: Machine Learning Deployment…”
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ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING from theory to clinical practice.

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Artificial intelligence for drug development, precision medicine, and healthcare / by Chang, Mark

Table of Contents: “…Artificial Neural Network. 6. Deep Learning Neural Network. 7. Kernel Methods. 8. Decision Tree and Ensemble Methods. 9. …”
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Statistics and machine learning methods for EHR data : from data extraction to data analytics /

Table of Contents: “…Ly -- EHR data exploration, analysis and predictions : statistical models and methods / Gen Zhu, Frances Brito, Stacia M DeSantis, and Vahed Maroufy -- Neural network and deep learning methods for EHR data / Duo Yu, Ashraf Yaseen, and Xi Luo -- EHR data analytics and predictions : machine learning methods / Yuxuan Gu, Yuefan Huang, Vi Ly, Ashraf Yaseen, and Hongyu Miao -- Use of EHR data for research : future / Hulin Wu.…”
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Hands on data science for biologists using Python by Hasija, Yasha, Chakraborty, Rajkumar

Table of Contents: “…Python : introduction and environment set up -- Basic Python programming -- BioPython -- Python for data analysis -- Python for data visualization -- Principal component analysis -- Hands-on projects -- Machine learning and linear regression -- Logistic regression -- K-nearest neighbors (K-NN) -- Decision trees and random forests -- Support vector machines -- Neural nets and deep learning -- The machine learning project -- Natural language processing -- K-means clustering.…”
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Data science for mathematicians /

Table of Contents: “…Wagaman -- Operations research / Alice Paul and Susan Martonosi -- Dimensionality reduction / Sofya Chepushtanova, Elin Farnell, Eric Kehoe, Michael Kirby, and Henry Kvinge -- Machine learning / Mahesh Agarwal, Nathan Carter, and David Oury -- Deep learning / Samuel S. Watson -- Topological data analysis / Henry Adams, Johnathan Bush, Joshua Mirth.…”
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AI Meets BI : Artificial Intelligence and Business Intelligence / by Lakshman, Bulusu, Abellera, Rosendo

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Enabling technologies for next generation wireless communications /

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Beyond disciplinarity : historical evolutions of research epistemology / by Hayes, Catherine (Lecturer in health)

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