Titlebook: Harmonic Analysis on Reductive p-adic Groups; Harish-Chandra Book 1970 Springer-Verlag Berlin Heidelberg 1970 Algebraische Gruppe.Analysis

FLAW

书目名称Harmonic Analysis on Reductive p-adic Groups影响因子(影响力)




书目名称Harmonic Analysis on Reductive p-adic Groups影响因子(影响力)学科排名




书目名称Harmonic Analysis on Reductive p-adic Groups网络公开度




书目名称Harmonic Analysis on Reductive p-adic Groups网络公开度学科排名




书目名称Harmonic Analysis on Reductive p-adic Groups被引频次




书目名称Harmonic Analysis on Reductive p-adic Groups被引频次学科排名




书目名称Harmonic Analysis on Reductive p-adic Groups年度引用




书目名称Harmonic Analysis on Reductive p-adic Groups年度引用学科排名




书目名称Harmonic Analysis on Reductive p-adic Groups读者反馈




书目名称Harmonic Analysis on Reductive p-adic Groups读者反馈学科排名

吞噬

Harish-Chandraithms are trained with imbalanced data. Using an actual shill bidding dataset, we assess the performance of several hybrid models of CSL and SSC and then compare their misclassification error and accuracy rates statistically. The most efficient CSL+SSC model was able to detect 99% of fraudsters and with the lowest total cost.

能得到

Harish-Chandrared good examples of adaptive systems. The paper, in particular, shows the integration of our Catalogue of adaptive patterns into the PASSI methodology, together with the graphical tool that we developed to support it.

COLON

感激小女

Harish-Chandrations according to the architectural specifications of CASL..Although we only consider two layers in the present paper, we see no reason why the approach should not be extended to any finite number of tiers. We prove soundness and completeness proofs for our logics.

nutrition

Harish-Chandraicult to find (W[1]-hard). We propose linear-time approximations by considering the environment as a favorable/hostile/neutral RL agent. Experiments validate this approach. Furthermore, we give a dynamic-programming algorithm to find an optimal summary of a long scenario.

代替

Eructation

Harish-Chandra and preferences can be set effectively and (iii) goals and preferences can be satisfied even while dealing with stochastic actions and perceptions. We believe that the proposed architecture furthers the theory of high-level autonomous agent reasoning.

G-spot

听觉

as gold standard for driver fatigue, wrongly as we will show. Here we present a more general approach using generalized EEG and EOG PSD features in combination with data fusion and advanced computational intelligence methods, such as Support-Vector Machines (SVM). Biosignal based discrimination of