Søgning på underkategorier- og emner:
Statistical learning theory answers these questions by deriving non-asymptotic bounds on the generalization error of a model or, in other words, by upper bounding the true error of the learned model based just on quantities computed on the available data.
Some authors explore new trends related to network measures, multilevel networks and clustering on networks, while other contributions deepen the relationship among statistical methods for data mining and social network analysis.
This book discusses the challenges facing current research in knowledge discovery and data mining posed by the huge volumes of complex data... Læs mere
This book provides step-by-step explanations of successful implementations and practical applications of machine learning. deep convolutional neural... Læs mere
However, encoding a planning domain model is not a straightforward task - a domain expert may be needed for their insight into the domain but this information must then be encoded in a suitable representation language.