Acquiring a reliable student model is the principal task of an Intelligent Tutoring System (ITS). A precisely defined also key term for success ITSs. In this paper, study on inferring accurate language learning offered by utilizing artificial intelligence. addition to general structure ITS, probabilistic inference using Bayesian Networks stated in paper. are acyclic directed graphs which nodes ...

We obtain new sum capacity results for the Gaussian many-to-one and one-to-many interference channels in channel parameter regimes where the sum capacity was known only up to a constant gap. Simple HanKobayashi (HK) schemes, i.e., HK schemes with Gaussian signaling, no time-sharing, and no common-private power splitting, achieve sum capacity under the channel conditions for which the new result...

The paper discusses a generalization of the nearest centroid hierarchical clustering algorithm. A first extension deals with the incorporation of generic distance-based penalty minimizers instead of the classical aggregation by means of centroids. Due to that the presented algorithm can be applied in spaces equipped with an arbitrary dissimilarity measure (images, DNA sequences, etc.). Secondly...

in the present study, a model of a large lithium polymer (li-po) battery for use in the simulation of hybrid electric vehicles (hevs) is developed. to attain this goal, an equivalent circuit (ec) consisting of a series resistor and two rc parallel networks is considered. the accuracy and the response time of the model for use in an hev simulator are studied. the battery parameters identificatio...

This paper presents a novel approach to discourse analysis within information extraction systems. It makes use of DRT as formal representation of the linguistic context as well as of a domain-specific ontology as a basis to compute conceptual relations between extracted events thus establishing discourse coherence. The approach has been implemented within GenIE, an information extraction system...