This work revisits the information given by the graph-of-words and its typical utilization through graph-based ranking approaches in the context of keyword extraction. Recent, well-known graph-based approaches typically employ the knowledge from word
vector representations during the ranking process via popular centrality measures (e.g., PageRank) without giving the primary role to vectors' distribution. We consider the adjacency matrix that corresponds to the graph-of-words of a target text document as the vector representation of its vocabulary. We propose the distribution-based modeling of this adjacency matrix using unsupervised (learning) algorithms. The efficacy of the distribution-based modeling approaches compared to state-of-the-art graph-based methods is confirmed by an extensive experimental study according to the F1 score. Our code is available on GitHub.
Let f be a periodic function and integrable, in
thesense of Lebesgue.In this paper, quite new theorems on
almost Matrix summability of Fourier series and its conjugate
have been established. our study generalizes all previously
known results of this line of work
This paper presents a new type of encryption, using a matrix
asymmetric and symmetric matrix inverse matrix clear text, which
is an internal encryption.
As well as asymmetric encryption, where the ciphertext is inversely
symmetric matrix.
Decryp
tion matrix related to any asymmetric encryption keys
depends on public and private, and is applied to the coded messages
used in the current system ASCII our computers.
In this paper, we introduce a modification to fuzzy mountain
data clustering algorithm. We were able to make this algorithm
working automatically, through finding a way to divide the
space, to determine the values of the input parameters, and
the stop condition automatically, instead of getting them by the
user.
We performed in this research forecast in the direction of the index
numbers for consumer prices for ( food- clothes and shoes –
education -health- transportation communications - housing water,
electricity, gas and other fuel oils), by using Mark
ov chains in
estimating with dependence on monthly data were taken from the
central bureau of statistics in Syria during the period (1/1/2010 ,
31/12/2011) , So results were analyzed by calculating the vector of
states probabilities in the moment 0 t and using it with matrix of
transition probabilities states transition probability for forecasting in the
vector of states probabilities on the long and short range for knowing
the direction at which the index numbers may behave in the future.
The most important results of the study were instability of the beam of
the transition probabilities (high low stability) during the prediction
period, as well as for the matrix of transition probabilities.
In this paper, we introduce a modification to fuzzy mountain
data clustering algorithm. We were able to make this algorithm
working automatically, through finding a way to divide the
space, to determine the values of the input parameters, and
the stop condition automatically, instead of getting them by the
user.
The volume of data being generated nowadays is increasing at
phenomenal rate. Extracting useful knowledge from such data
collections is an important and challenging issue. A promising
technique is the rough set approach, a new mathematical method
to data analysis based on classification of objects into similarity
classes, which are indiscernible with respect to some features. This
paper focuses on discovering maximal generalized decision rules
in databases based on a simple or multiple regression, generalized
theory, and decision matrix.
This Research presents a detailed study and practical design for the
construction, programming and implementation of the system to
receive SMS messages sent from a mobile phone or more to the
SIM card placed with in the circuit (GSM-MODULE) connected in
turn with a microcontroller which translates and shows this message
on the optical matrix.
These days compositedefinitly became at the top of direct cosmetic restorations, and
the most using restorative material, due to this development now it's used for direct
Veneers &Lumineers.
Because of the high sensitivity of its application, gene
ral practitioner should achieve
a dry, clear work field, especially gingival area.
The aim of the study was to use the modified metal matrix, which used in this study,
is to retract the gum, isolate the tooth from the exudation of the sulcus and bleeding gum
avoiding margin leakage, also provide acceptable continuance between the restoration
surface and the under gum tooth structure, to prevent forming reverse stage under gum.
120 teeth were included in this study, all teeth were treated using the modified metal
matrix, 10 teeth at least for each patient, with no orthodontic treatment. The results have
practically proved getting all goals; retracted gum, tooth isolated from exudation of the
sulcus and bleeding gum, also provided continuance between veneers and under gum tooth
structure, and not having reverse stage which is the main cause of gum inflammation,
beside time saving and easy direct veneer application.
This study aims to determine the direct role
of some factors that contribute to improve the prognosis of the
Cervical and Furcation Perforations throughout application of
bioactive materials using non surgical methods.
