Imagem da capa para Diagnostic test approaches to machine learning and commonsense reasoning systems
Diagnostic test approaches to machine learning and commonsense reasoning systems
Título:
Diagnostic test approaches to machine learning and commonsense reasoning systems
ISBN:
9781466619012
PRODUCTION_INFO:
Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2013.
Descrição Física:
electronic texts (269 p.) : digital files.
Conteúdo:
Integrated model of inductive-deductive inference based on finite predicates and implicative regularities / Arkadij Zakrevskij -- Solving large systems of boolean equations / Arkadij Zakrevskij -- Constructing Galois lattices as a commonsense reasoning process / Xenia Naidenova -- An analytical survey of current approaches to mining logical rules from data / Xenia Naidenova -- Logical inference and defeasible reasoning in N-tuple algebra / Boris Kulik, Alexander Fridman, Alexander Zuenko -- Measuring human intelligence by applying soft computing techniques: a genetic fuzzy approach / Kunjal Mankad -- Intelligent data processing based on multi-dimensional numbered memory structures / Krassimir Markov ... [et al.] -- Bimodal cross-validation approach for recommender systems diagnostics / Dmitry I. Ignatov, Jonas Poelmans -- Application of machine training methods to design of new inorganic compounds / Nadezhda Kiselyova ... [et al.] -- Machine learning in studying the organism's functional state of clinically healthy individuals depending on their immune reactivity / Tatiana V. Sambukova -- Business intelligence in corporate governance and business processes management / Alexander Yakovlev.
Resumo:
"This book analyzes and compares the existing and most effective algorithms for mining through logical rules and shows how these approaches use shared concepts for mining logical rules, including item, item set, transaction, frequent itemset, maximal itemset, generator (non-redundant or irredundant itemset), closed itemset, support, and confidence"--Provided by publisher.
Autor Corporativo Adicionado:

LANGUAGE:
Inglês