Craig Saunders – författare
Visar alla böcker från författaren Craig Saunders. Handla med fri frakt och snabb leverans.
7 produkter
7 produkter
Inbunden, Engelska, 2011
419 kr
Skickas inom 3-6 vardagar
Häftad, Engelska, 2004
291 kr
Skickas inom 5-8 vardagar
Inbunden, Engelska, 2004
406 kr
Skickas inom 5-8 vardagar
Häftad, Engelska, 2017
215 kr
Skickas inom 3-6 vardagar
Del 12460 - Lecture Notes in Computer Science
Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track
European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part IV
Häftad, Engelska, 2021
526 kr
Skickas inom 10-15 vardagar
bioinformatics.Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: activity recognition; applied data science: spatiotemporal data. Part V: applied data science: social good; applied data science: computational social science;
Del 12461 - Lecture Notes in Computer Science
Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track
European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part V
Häftad, Engelska, 2021
942 kr
Skickas inom 10-15 vardagar
bioinformatics.Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: activity recognition; applied data science: spatiotemporal data. Part V: applied data science: social good; applied data science: computational social science;
Häftad, Engelska, 2006
558 kr
Skickas inom 10-15 vardagar
This book constitutes the thoroughly refereed post-proceedings of the PASCAL (pattern analysis, statistical modelling and computational learning) Statistical and Optimization Perspectives Workshop on Subspace, Latent Structure and Feature Selection techniques, SLSFS 2005. The 9 revised full papers presented together with 5 invited papers reflect the key approaches that have been developed for subspace identification and feature selection using dimension reduction techniques, subspace methods, random projection methods, among others.