Alex Gammerman – författare
Visar alla böcker från författaren Alex Gammerman. Handla med fri frakt och snabb leverans.
5 produkter
Algorithmic Learning in a Random World
Av Glenn Shafer, Alex Gammerman m. fl.
E-bok, 2005
2062 kr
Lägg i varukorg
Algorithmic Learning in a Random World describes recent theoretical and experimental developments in building computable approximations to Kolmogorov''s algorithmic notion of randomness. Based on these approximations, a new set of machine learning algorithms have been developed that can be used to …
Causal Models and Intelligent Data Management
Inbunden, 1999
566 kr
Lägg i varukorg
Data analysis and inference have traditionally been research areas of statistics. However, the need to electronically store, manipulate and analyze large-scale, high-dimensional data sets requires new methods and tools, new types of databases, new efficient algorithms, new data structures, etc. - …
Causal Models and Intelligent Data Management
E-bok, 2012
734 kr
Lägg i varukorg
Data analysis and inference have traditionally been research areas of statistics. However, the need to electronically store, manipulate and analyze large-scale, high-dimensional data sets requires new methods and tools, new types of databases, new efficient algorithms, new data structures, etc. - …
Causal Models and Intelligent Data Management
Häftad, 2012
566 kr
Lägg i varukorg
Data analysis and inference have traditionally been research areas of statistics. However, the need to electronically store, manipulate and analyze large-scale, high-dimensional data sets requires new methods and tools, new types of databases, new efficient algorithms, new data structures, etc. - …
Algorithmic Learning in a Random World
Av Vladimir Vovk, Alex Gammerman m. fl.
Inbunden, 2005
2364 kr
Tillfälligt slut
Algorithmic Learning in a Random World describes recent theoretical and experimental developments in building computable approximations to Kolmogorov's algorithmic notion of randomness. Based on these approximations, a new set of machine learning algorithms have been developed that can be used to …
