Dragi (111 results)

Condition: as new. Wie neu/Like new.

Condition: Fair. : Este libro de texto, titulado "Physique Terminale S", es una obra de referencia diseñada para estudiantes del último año de bachillerato (Terminale S) en el sistema educativo francés. Publicado por Belin Education en 2002, el manual ofrece una cobertura completa de los conceptos fundamentales de física necesarios para el currículo académico de este nivel, incluyendo numerosos esquemas y fotografías a color que facilitan la comprensión de los temas científicos tratados.La obra es el resultado de la colaboración de un equipo de expertos, entre ellos Jean-Marie Parisi, y se ha consolidado como un material didáctico esencial para el estudio de las ciencias físicas. Con 335 páginas, este manual proporciona una base sólida tanto para el repaso como para el aprendizaje profundo de la materia, siendo una herramienta valiosa para cualquier estudiante interesado en las ciencias generales. EAN: 9782701131382 Tipo: Libros Categoría: Libros de Texto|Ciencias Título: Physique Terminale S Autor: Jean-Marie Parisi| Pierre Bourdin| Dimitri Chapelain| Dragi Karevski| Damien Lambert Editorial: Belin Idioma: fr-FR Páginas: 335 Formato: tapa blanda.…

Paperback. Condition: New.

Paperback or Softback. Condition: New. Strat�gie de conception d'exp�rience patient: La coconception num�rique. Book.

Paperback. Condition: Very Good. Exhibition catalog with color photographs of many Macedonian folk costumes. Introductory essay and bibliography.84 pp. Rubbing to the dark covers, Very Good.

Brossura. Condition: come nuovo. senza sovraccoperta. prima edizione. Formato in 8°; 42 pagine. Brossura editoriale figurata. Edizione in lingua inglese illustrata a colori.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New. Print on Demand.

Paperback. Condition: New.

hardcover. Condition: Sehr gut. 180 Seiten; Ge14,38 Sprache: Deutsch Gewicht in Gramm: 500.

PF. Condition: New.

Condition: New.

Condition: New. In English.

Condition: New.

Condition: New. In English.

Hardcover. Condition: Near Fine. No Jacket. 1st Edition. Near Fine in Hardcover. 413pp 4to. Brown spine with white titles. Text in Russian and English. Archaeology.

Condition: New. pp. 208.

Condition: As New. Unread book in perfect condition.

Condition: New. pp. 388.

Paperback. Condition: Brand New. 2012 edition. 205 pages. 8.75x6.00x0.50 inches. In Stock.

Hardcover. Condition: Very Good. 1st Edition. One of 1000 copies. 8vo. Dark brown leatherette gilt. [vi], 114pp. Text in Macedonian, though with some works also in their original English. Very Good, a little soiled to the head edge, the lower board slightly marked. This copy has been inscribed to Tom Raworth from a 'Zoran', presumably a friend of Mihajlovski's. Inscribed.…

Condition: New.

Paperback. Condition: new. Paperback. This multi-volume set, LNAI 16941-16950, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2026, held in Naples, Italy, during September 711, 2026.The papers inlcuded in these proceedings were carefully reviewed and selected; they were organised in different conference tracks: 280 full papers were accepted for the Research Track out of 1150 submissions, and 90 full papers for the Applied Data Science Track out of 381 submissions. The remaining short papers included in these proceedings are from the Demo Track (27 papers out of 38 submissions) and the Industrial Track (21 papers out of 42 submissions). The papers cover the following topical sections:The Research Track (LNAI 16941-16948): Anomaly & Outlier Detection; Anomaly Detection, Active Learning & Data-Centric Learning; AutoML, Data-Centric & Statistical Learning; Bias & Fairness; Biomedical AI; Causal Discovery & Causal Inference; Clustering & Pattern Mining; Continual Learning; Evaluation & Trustworthy AI; Federated Learning; Federated Learning & Machine Unlearning; Generative & Difusion Models; Graph Learning & Applications; Graph Learning & Graph Inference; Graph Neural Networks; Graph, Language & Decision Learning; Images & Computer Vision; Interpretability & Explainability; Knowledge Graphs & Graph Representation Learning; Large Language Models; Learning Theory & Probabilistic ML; Model Reliability & Evaluation; Multimodal, Vision & 3D Reconstruction; Neuro-Symbolic Learning; Optimization, Bandits & Online Learning; Recommender Systems & Ranking; Reinforcement Learning & Decision Making; Representation Learning; Representation, Alignment & Generative Learning; Robustness, Counterfactuals & Explanations; Robustness, Uncertainty & Trustworthy ML; Security, Privacy & Trustworthy AI; Structured Graphs, Causal & Relational Learning; Supervised & Weakly-Supervised Learning; Text Mining & Information Retrieval; Text Mining, Information Retrieval & Model Analysis; and Time Series & Streaming Data; and Vision Applications;The Applied Data Science Track (LNAI 16948-16950): AI for Sports, Mobility & Human-Centered Applications; Causal Inference, Decision Making & Counterfactual Learning; Explainability, Robustness & Responsible AI; Foundation Models & AI for Biology and Medicine; Graph Learning & Structured Representation Learning; Industrial AI, Monitoring & Digital Twins; Large Language Models, Agents & Reasoning; Natural Language Processing & Information Retrieval; Remote Sensing, Earth Observation & Environmental Monitoring; and Time Series, Forecasting & Anomaly Detection;The Demo Track and the Industial Track in LNAI 16950 showcased practical applications and prototypes. Anomaly Detection, Active Learning & Data-Centric Learning; Graph Learning & Applications; Graph Learning & Graph Inference; Graph, Language & Decision Learning; Knowledge Graphs & Graph Representation Learning; Structured Graphs, Causal & Relational Learning; Graph Learning & Structured Representation Learning; Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condition: new. Paperback. This multi-volume set, LNAI 16941-16950, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2026, held in Naples, Italy, during September 711, 2026.The papers inlcuded in these proceedings were carefully reviewed and selected; they were organised in different conference tracks: 280 full papers were accepted for the Research Track out of 1150 submissions, and 90 full papers for the Applied Data Science Track out of 381 submissions. The remaining short papers included in these proceedings are from the Demo Track (27 papers out of 38 submissions) and the Industrial Track (21 papers out of 42 submissions). The papers cover the following topical sections:The Research Track (LNAI 16941-16948): Anomaly & Outlier Detection; Anomaly Detection, Active Learning & Data-Centric Learning; AutoML, Data-Centric & Statistical Learning; Bias & Fairness; Biomedical AI; Causal Discovery & Causal Inference; Clustering & Pattern Mining; Continual Learning; Evaluation & Trustworthy AI; Federated Learning; Federated Learning & Machine Unlearning; Generative & Difusion Models; Graph Learning & Applications; Graph Learning & Graph Inference; Graph Neural Networks; Graph, Language & Decision Learning; Images & Computer Vision; Interpretability & Explainability; Knowledge Graphs & Graph Representation Learning; Large Language Models; Learning Theory & Probabilistic ML; Model Reliability & Evaluation; Multimodal, Vision & 3D Reconstruction; Neuro-Symbolic Learning; Optimization, Bandits & Online Learning; Recommender Systems & Ranking; Reinforcement Learning & Decision Making; Representation Learning; Representation, Alignment & Generative Learning; Robustness, Counterfactuals & Explanations; Robustness, Uncertainty & Trustworthy ML; Security, Privacy & Trustworthy AI; Structured Graphs, Causal & Relational Learning; Supervised & Weakly-Supervised Learning; Text Mining & Information Retrieval; Text Mining, Information Retrieval & Model Analysis; and Time Series & Streaming Data; and Vision Applications;The Applied Data Science Track (LNAI 16948-16950): AI for Sports, Mobility & Human-Centered Applications; Causal Inference, Decision Making & Counterfactual Learning; Explainability, Robustness & Responsible AI; Foundation Models & AI for Biology and Medicine; Graph Learning & Structured Representation Learning; Industrial AI, Monitoring & Digital Twins; Large Language Models, Agents & Reasoning; Natural Language Processing & Information Retrieval; Remote Sensing, Earth Observation & Environmental Monitoring; and Time Series, Forecasting & Anomaly Detection;The Demo Track and the Industial Track in LNAI 16950 showcased practical applications and prototypes. Anomaly Detection, Active Learning & Data-Centric Learning; Graph Learning & Applications; Graph Learning & Graph Inference; Graph, Language & Decision Learning; Knowledge Graphs & Graph Representation Learning; Structured Graphs, Causal & Relational Learning; Graph Learning & Structured Representation Learning; Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book gives a comprehensive overview of the relationship between admissibility and hyperbolicity. Essential theories and selected developments are discussed with highlights to applications. The dedicated readership includes researchers and graduate students specializing in differential equations and dynamical systems (with emphasis on hyperbolicity) who wish to have a broad view of the topic and working knowledge of its techniques. The book may also be used as a basis for appropriate graduate courses on hyperbolicity; the pointers and references given to further research will be particularly useful.The material is divided into three parts: the core of the theory, recent developments, and applications. The first part pragmatically covers the relation between admissibility and hyperbolicity, starting with the simpler case of exponential contractions. It also considers exponential dichotomies, both for discrete and continuous time, and establishes corresponding results buildingon the arguments for exponential contractions. The second part considers various extensions of the former results, including a general approach to the construction of admissible spaces and the study of nonuniform exponential behavior. Applications of the theory to the robustness of an exponential dichotomy, the characterization of hyperbolic sets in terms of admissibility, the relation between shadowing and structural stability, and the characterization of hyperbolicity in terms of Lyapunov sequences are given in the final part.…

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Conformal invariance has been a spectacularly successful tool in advancing our understanding of the two-dimensional phase transitions found in classical systems at equilibrium. This volume sharpens our picture of the applications of conformal invariance, introducing non-local observables such as loops and interfaces before explaining how they arise in specific physical contexts. It then shows how to use conformal invariance to determine their properties. Moving on to cover key conceptual developments in conformal invariance, the book devotes much of its space to stochastic Loewner evolution (SLE), detailing SLE's conceptual foundations as well as extensive numerical tests. The chapters then elucidate SLE's use in geometric phase transitions such as percolation or polymer systems, paying particular attention to surface effects. As clear and accessible as it is authoritative, this publication is as suitable for non-specialist readers and graduate students alike.…

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of the 17th International Conference on Discovery Science, DS 2014, held in Bled, Slovenia, in October 2014. The 30 full papers included in this volume were carefully reviewed and selected from 62 submissions. The papers cover topics such as: computational scientific discovery; data mining and knowledge discovery; machine learning and statistical methods; computational creativity; mining scientific data; data and knowledge visualization; knowledge discovery from scientific literature; mining text, unstructured and multimedia data; mining structured and relational data; mining temporal and spatial data; mining data streams; network analysis; discovery informatics; discovery and experimental workflows; knowledge capture and scientific ontologies; data and knowledge integration; logic and philosophy of scientific discovery; and applications of computational methods in various scientific domains.…

Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condition: New.