Gianmarco De Francisci Morales | Akateeminen Kirjakauppa

Haullasi löytyi yhteensä 2 tuotetta
Haluatko tarkentaa hakukriteerejä?

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES: APPLIED DATA SCIENCE AND DEMO TRACK : EUROPEAN CONFERENCE, ECML PKDD 2023

Gianmarco De Francisci Morales (ed.); Claudia Perlich (ed.); Natali Ruchansky (ed.); Nicolas Kourtellis (ed.); Elen Baralis
Springer (2023)
Pehmeäkantinen kirja

66,40 €

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES: APPLIED DATA SCIENCE AND DEMO TRACK - EUROPEAN CONFERENCE, ECML PKDD 2023

Gianmarco De Francisci Morales; Claudia Perlich; Natali Ruchansky; Nicolas Kourtellis; Elena Baralis; Francesco Bonchi
Springer International Publishing AG (2023)
Pehmeäkantinen kirja

86,40 €

Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track : European Conference, ECML PKDD 2023

Gianmarco De Francisci Morales (ed.), Claudia Perlich (ed.), Natali Ruchansky (ed.), Nicolas Kourtellis (ed.), Elen Baralis

66,40 €

Springer
Sivumäärä: 381 sivua
Asu: Pehmeäkantinen kirja
Julkaisuvuosi: 2023, 17.09.2023 (lisätietoa)
Kieli: Englanti
Tuotesarja: Lecture Notes in Artificial Intelligence

The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023.

The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track.

The volumes are organized in topical sections as follows:

Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering.

Part II: Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning.

Part III: Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning.

Part IV: Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning.

Part V: Robustness; Time Series; Transfer and Multitask Learning.

Part VI: Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval.

Part VII: Sustainability, Climate, and Environment.- Transportation & Urban Planning.- Demo.

LISÄÄ OSTOSKORIIN

Tilaustuote | Arvioimme, että tuote lähetetään meiltä noin 4-5 viikossa

Myymäläsaatavuus