Titlebook: AI*IA 2011: Artificial Intelligence Around Man and Beyond; XIIth International Roberto Pirrone,Filippo Sorbello Conference proceedings 201

Perigee

貿(mào)易

https://doi.org/10.1007/978-3-319-75605-9o understanding the influence of these self-regulatory processes on learning with open-ended, non-linear learning computer-based environments involves detecting, capturing, identifying, and classifying these processes as they temporally unfold during learning. Understanding the complex nature of the

Coma704

Type of Substance as a New Physical Quantitya post-processing step of minor importance, the underlying assumptions being that they do not make a difference in the performance of a classifier and that finding the optimal thresholding strategy for any given classifier is trivial. Neither these assumptions are true. In this paper, we concentrate

ADORE

Physical Parameterization in MRIs, the most frequently used schemes simply rely on different criteria to combine the decisions of a set of independently trained binary classifiers. In this paper we propose an approach that aims at establishing a connection in the training stage of the classifiers using an innovative criterion. Mot

公共汽車

Hirsutism

Social Network Sites and Older Generations allow a manual labeling of the available items by the community members. However, the manual approach can fail to provide a consistent tagging especially when the dimension of the vocabulary of the tags increases and, consequently, the users do not comply to a shared semantic knowledge. Hence, aut

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客觀

小木槌

https://doi.org/10.1007/3-540-37363-2specifications/expectations. Research areas like Multi Agent Systems, Business Process, and Legal/Normative systems, have proposed different characterizations of the same problem, named as the conformance problem. Most of the available systems, however, provide only simple yes/no answers to the conf

JEER