367 results for machine learning
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Deep Learning Techniques for Music Generation
This book is a survey and an analysis of different ways of using deep learning (deep artificial neural networks) to generate musical content. We propose a methodology based on five dimensions for our analysis:- Objective-- What musical content is to be generated? Examples are: melody, polyphony…
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Data-Based Machine Diagnostics of Local Territorial Development: The Case of Latvian Municipalities
The study “Data-Based Machine Diagnostics of Local Territorial Development: The Case of Latvian Municipalities” worked out by Vera Komarova, Oksana Ruža, Jānis Kudiņaš Edmunds Čižo, Anita Kokarēviča (Latvia) and supervised by the University’s of Pisa Professor Antonio Frangioni (Italy) and…
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Convolutional Fractional Stochastic Fields and their Deep Learning
…realities.This book proposes a stochastic integral perspective of deep machine learning in artificial intelligence. The organization of the book is as follows. Chapter 1 introduces the basics of stochastic reasoning and the most useful properties of stochastic processes. Chapters 2 and 3 derive…
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Deep Learning Techniques for Music Generation -- A Survey
This paper is a survey and an analysis of different ways of using deep learning (deep artificial neural networks) to generate musical content.We propose a methodology based on five dimensions for our analysis:• Objective– What musical content is to be generated?Examples are: melody, polyphony…
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Multiclass Multilabel Change of State Transfer Learning from Image Time Series
International audience
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Advances in Deep Learning, Artificial Intelligence and Robotics: Proceedings of the 2nd International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2020
This book of Advances in Deep Learning, Artificial Intelligence and Robotics (proceedings of ICDLAIR 2020) is intended to be used as a reference by students and researchers who collect scientific and technical contributions with respect to models, tools, technologies and applications in the field…
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Embedded Artificial Intelligence: Bridging the Gap Between Hardware and Deep Learning
The IEEE CAS Seasonal School on Technologies for Artificial Intelligence tackles the critical skill gap between embedded technology and deep learning. Supported by European projects FVLLMONTI, HERMES, and RadioSpin, this event fosters a transdisciplinary community focused on embedded artificial…
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Advances in Domain Adaptation Theory
All machine learning algorithms that correspond to supervised and semi-supervised learning work under a common assumption: training and test data follow the same distribution. When the distribution changes, most statistical models must be reconstructed from new data that may be costly or even…
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Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning
This book contains selected and revised papers of the European Symposium on Adaptive and Learning Agents and Multi-Agent Systems (ALAMAS), editions 2005, 2006 and 2007, held in Paris, Brussels and Maastricht. The goal of the ALAMAS symposia, and this associated book, is to increase awareness and…
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Inductive Logic Programming: Proceedings of the 24th International Conference on Inductive Logic Programming
Proceedings of the 24th International Conference on Inductive Logic Programming, Nancy, France, September 14-16, 2014.
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On a New Evidential C-Means Algorithm with Instance-Level Constraints
International audience
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Advances in Data Clustering: Theory and applications
…large datasets, clustering emerges as a pivotal player in data mining and machine learning. At its core, clustering seeks to unveil heterogeneous groups within unlabeled data, representing a crucial unsupervised task in machine learning. The objective is to automatically assign labels to each…
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A Guided Tour of Artificial Intelligence Research - Volume I: Knowledge Representation, Reasoning and Learning
…of knowledge representation and the formalization of reasoning and learning (Volume 1. Knowledge representation, reasoning and learning)- the second volume offers a view of AI, in fourteen chapters, from the side of the algorithms (Volume 2. AI Algorithms)- the third volume, composed of sixteen…
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Processus décisionnels de Markov en intelligence artificielle
L'objectif de cet ouvrage est de présenter à un large public (étudiants, ingénieurs, chercheurs) des techniques permettant la prise de décisions séquentielles optimales dans l'incertain. Ces techniques sont issues de travaux en intelligence artificielle autour du formalisme des processus de…
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Processus décisionnels de Markov en intelligence artificielle
L'objectif de cet ouvrage est de présenter à un large public (étudiants, ingénieurs, chercheurs) des techniques permettant la prise de décisions séquentielles optimales dans l'incertain. Ces techniques sont issues de travaux en intelligence artificielle autour du formalisme des processus de…
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Algorithmica. Informatica
Manuel d'algorithmique pour une école secondaire, niveau collège (6e classe)
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Actes du Troisième atelier QUalité des Données et des Connaissances (QDC 2007)
En conjonction avec la 7e conférence Francophone Exctration et Gestion des Connaissances (EGC 2007) Villeneuve d'Ascq, France
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Actes du Quatrième atelier Qualité des Données et des Connaissances (QDC 2008)
En conjonction avec la 8e conférence Francophone Extraction et Gestion des Connaissances (EGC 2008), Sophia-Antipolis, France
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Signal Processing Methods for Music Transcription
…statistical methods, perceptually-motivated methods, and unsupervised learning methods. The text is enhanced by a common reference and index.