نتایج جستجو برای: we collect data from multiple information sources like human experts
تعداد نتایج: 9832810 فیلتر نتایج به سال:
Decision-makers often learn by acquiring information from distinct sources that possibly provide complementary information. We consider a decisionmaker who sequentially samples from a finite set of Gaussian signals, and wants to predict a persistent multi-dimensional state at an unknown final period. What signal should he choose to observe in each period? Related problems about optimal experime...
The healthy human brain contains tens of billions of neurons, specialized cells that process and transmit information via electrical and chemical signals. Most neurons have three basic components: a cell body, multiple dendrites, and an axon. The cell body contains the nucleus, which houses the genetic blueprint that directs and regulates the cell’s activities. Dendrites are branch-like structu...
Decision-makers often aggregate information across many sources, each of which provides relevant information. We introduce a dynamic learning model where a decisionmaker sequentially acquires Gaussian signals that are related by a flexible correlation structure. Such a setting describes sequential search between similar products, as well as reading news articles with correlated biases. We study...
abstract the present study is concerned with the syntactic deviation in hafezs poetry. poems are known to be accompanied with various linguistic deviations. these deviations may be phonological, morphological and/or syntactic. the relatively high frequency of the cases of the syntactic deviation in hafezs poems makes this rhetorical feature as a main characteristic of his poetry. this thesis, ...
nowadays, air pollution is a global problem that has had significant growth by technology development, population growth andindustrial development. industrial development brought natural resources deterioration, more manufacturing products, and more environmental pollutants. if pollutant won’t be controlled, human-being and wildlife will face the critical risks. significant release and critical...
this thesis is a study on insurance fraud in iran automobile insurance industry and explores the usage of expert linkage between un-supervised clustering and analytical hierarchy process(ahp), and renders the findings from applying these algorithms for automobile insurance claim fraud detection. the expert linkage determination objective function plan provides us with a way to determine whi...
Improving human action recognition in videos is restricted by the inherent limitations of the visual data. In this paper, we take the depth information into consideration and construct a novel dataset of human daily actions. The proposed ACT4 dataset provides synchronized data from 4 views and 2 sources, aiming to facilitate the research of action analysis across multiple views and multiple sou...
Coordination, cooperation and exchange of information is important to the medical community. We design a new ontology, called Generic Human Disease Ontology (GHDO), by merging and aligning existing medical ontologies. The concepts of the GHDO are organized into the following four dimensions: Types, Symptoms, Causes and Treatments of human diseases. We also design a multi-agent system framework ...
a r t i c l e i n f o Interest in the use of (big) company data and data-mining models to guide decisions exploded in recent years. In many domains there are human experts whose knowledge is essential in building, interpreting and applying these models. However, the impact of integrating expert opinions into the decision-making process has not been sufficiently investigated. This research gap d...
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