Kristian kersting (57 Ergebnisse)

paperback. Zustand: Good. Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned.…

hardcover. Zustand: Good. Damage on front cover.

Zustand: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Zustand: as new. Wie neu/Like new.

Softcover. Zustand: Fair. Leichte Kratzer / Abnutzungen / Druckstellen; Verformung des Buches. Erweitern Sie Ihr Fachwissen uber Kunstliche Intelligenz (KI) und Maschinelles Lernen (ML) mit diesem verstandlichen Sachbuch. In der Ara von Industrie 4.0 und Digitalisierung gewinnen ML und KI zunehmend an Bedeutung. Ohne komplexe mathematische Formeln werden die grundlegenden Methoden, Anwendungen und Vorgehensweisen des Maschinellen Lernens und der Kunstlichen Intelligenz erklart. Die Protagonistin Lisa veranschaulicht die Themen durch Alltagssituationen, wodurch sich Fachwissen, das bisher Experten vorbehalten war, leicht erschliesst. Dieses Buch ermoglicht es Ihnen, neues Wissen zu erwerben, um in Diskussionen uber Chancen und Risiken aktueller Entwicklungen zu glanzen. Es beginnt mit den Grundlagen der KI und des ML, klart Fragen zu Daten, Algorithmen, Regression und Clusteranalysen und beleuchtet die Funktionsweise wichtiger Algorithmen des Maschinellen Lernens. Schritt fur Schritt tauchen Sie mit vielen Abbildungen tiefer in die Materie ein. Die Autoren behandeln Verfahren wie k-Means, Entscheidungsbaume, das Verzerrung-Varianz-Dilemma, Big Data und Neuronale Netze. Zudem wird die gesellschaftliche Bedeutung von KI und ML thematisiert, einschliesslich Sicherheits- und Ethikfragen. Dieses Werk ist eine Leseempfehlung fur Interessierte, Entscheidungstrager und Schuler, die die Zukunft mitgestalten wollen.…

Zustand: Very Good. Minor wear at extremities. Faint storage marks/scratches to cover. Text as new and unread.

Taschenbuch. Zustand: Fair. Seiten: viele Seiten hinten stark wellig, Wasserschaden und etwas wellig, Ecken deutlich bestoßen, sonst ok. Einband: sehr stark bestoßen und berieben, Ecke vorne oben ein Knick 3 cm. Buchschnitt: stark verschmutzt. Schutzumschlag: wie auf dem Bild, falls der Umschlag vorhanden. Versand am Tag des Geldeingangs. Für jeden Kauf wird eine Rechnung ausgestellt. Diese bekommen Sie online als PDF zum Download.…

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New.

Paperback. Zustand: Brand New. 1st edition. 339 pages. 9.00x6.00x1.00 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - One of the key open questions within arti cial intelligence is how to combine probability and logic with learning. This question is getting an increased - tentioninseveraldisciplinessuchasknowledgerepresentation,reasoningabout uncertainty, data mining, and machine learning simulateously, resulting in the newlyemergingsub eldknownasstatisticalrelationallearningandprobabil- ticinductivelogicprogramming.Amajordriving forceisthe explosivegrowth in the amount of heterogeneous data that is being collected in the business and scienti c world. Example domains include bioinformatics, chemoinform- ics, transportation systems, communication networks, social network analysis, linkanalysis,robotics,amongothers.Thestructuresencounteredcanbeass- pleassequencesandtrees(suchasthosearisinginproteinsecondarystructure predictionandnaturallanguageparsing)orascomplexascitationgraphs,the WorldWideWeb,andrelationaldatabases. This book providesan introduction to this eld with an emphasison those methods based on logic programming principles. The book is also the main resultofthesuccessfulEuropeanISTFETprojectno.FP6-508861onAppli- tionofProbabilisticInductiveLogicProgramming(APRILII,2004-2007).This projectwascoordinatedbytheAlbertLudwigsUniversityofFreiburg(Germany, Luc De Raedt) and the partners were Imperial College London (UK, Stephen MuggletonandMichaelSternberg),theHelsinkiInstituteofInformationTe- nology(Finland,HeikkiMannila),theUniversit` adegliStudidiFlorence(Italy, PaoloFrasconi),andtheInstitutNationaldeRechercheenInformatiqueet- tomatiqueRocquencourt(France,FrancoisFages).Itwasconcernedwiththeory, implementationsandapplicationsofprobabilisticinductivelogicprogramming. Thisstructureisalsore ectedinthebook. The book starts with an introductory chapter to Probabilistic Inductive LogicProgramming byDeRaedtandKersting.Inasecondpart,itprovidesa detailedoverviewofthemostimportantprobabilisticlogiclearningformalisms and systems. We are very pleased and proud that the scientists behind the key probabilistic inductive logic programming systems (also those developed outside the APRIL project) have kindly contributed a chapter providing an overviewoftheircontributions.Thisincludes:relationalsequencelearningte- niques (Kersting et al.), using kernels with logical representations (Frasconi andPasserini),MarkovLogic(Domingosetal.), the PRISMsystem (Satoand Kameya),CLP(BN)(SantosCostaetal.),BayesianLogicPrograms(Kersting andDeRaedt),andtheIndependentChoiceLogic(Poole).Thethirdpartthen provides a detailed account of some show-caseapplications of probabilistic - ductive logic programming, more speci cally: in protein fold discovery (Chen et al.), haplotyping (Landwehr and Mielik ainen) and systems biology (Fages andSoliman). The nal parttouchesupon sometheoreticalinvestigationsand VI Preface includes chaptersonbehavioralcomparisonof probabilisticlogicprogramming representations(MuggletonandChen)andamodel-theoreticexpressivityan- ysis(Jaeger). …

Paperback. Zustand: Brand New. 2013 edition. 730 pages. 9.50x6.25x1.50 inches. In Stock.

Paperback. Zustand: Brand New. 2013 edition. 740 pages. 9.00x6.00x1.50 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 447 submissions. The papers are organized in topical sections on reinforcement learning; Markov decision processes; active learning and optimization; learning from sequences; time series and spatio-temporal data; data streams; graphs and networks; social network analysis; natural language processing and information extraction; ranking and recommender systems; matrix and tensor analysis; structured output prediction, multi-label and multi-task learning; transfer learning; bayesian learning; graphical models; nearest-neighbor methods; ensembles; statistical learning; semi-supervised learning; unsupervised learning; subgroup discovery, outlier detection and anomaly detection; privacy and security; evaluation; applications; and medical applications.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 447 submissions. The papers are organized in topical sections on reinforcement learning; Markov decision processes; active learning and optimization; learning from sequences; time series and spatio-temporal data; data streams; graphs and networks; social network analysis; natural language processing and information extraction; ranking and recommender systems; matrix and tensor analysis; structured output prediction, multi-label and multi-task learning; transfer learning; bayesian learning; graphical models; nearest-neighbor methods; ensembles; statistical learning; semi-supervised learning; unsupervised learning; subgroup discovery, outlier detection and anomaly detection; privacy and security; evaluation; applications; and medical applications.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 447 submissions. The papers are organized in topical sections on reinforcement learning; Markov decision processes; active learning and optimization; learning from sequences; time series and spatio-temporal data; data streams; graphs and networks; social network analysis; natural language processing and information extraction; ranking and recommender systems; matrix and tensor analysis; structured output prediction, multi-label and multi-task learning; transfer learning; bayesian learning; graphical models; nearest-neighbor methods; ensembles; statistical learning; semi-supervised learning; unsupervised learning; subgroup discovery, outlier detection and anomaly detection; privacy and security; evaluation; applications; and medical applications.…

Zustand: New. In English.

Zustand: New.

Taschenbuch. Zustand: Neu. Probabilistic Inductive Logic Programming | Luc De Raedt (u. a.) | Taschenbuch | viii | Englisch | 2008 | Springer | EAN 9783540786511 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. Machine Learning and Knowledge Discovery in Databases | European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part II | Hendrik Blockeel (u. a.) | Taschenbuch | xliv | Englisch | 2013 | Springer | EAN 9783642409905 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. Machine Learning and Knowledge Discovery in Databases | European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part III | Hendrik Blockeel (u. a.) | Taschenbuch | xlvi | Englisch | 2013 | Springer | EAN 9783642409936 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. Machine Learning and Knowledge Discovery in Databases | European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I | Hendrik Blockeel (u. a.) | Taschenbuch | liv | Englisch | 2013 | Springer | EAN 9783642409875 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Paperback. Zustand: Brand New. 429 pages. 9.25x7.25x1.25 inches. In Stock.

Zustand: New. 2021. paperback. . . . . . Books ship from the US and Ireland.

Paperback. Zustand: Brand New. 2013 edition. 700 pages. 9.50x6.25x1.75 inches. In Stock.