Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Zuhair Bandar"'
Publikováno v:
ASAR
Word similarity measures are used to measure the semantic relatedness between two words. Whereas traditional English measures exist, relatively little research has been undertaken in developing such measures for Modern Standard Arabic largely due to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dce5adba20146823827441774025168e
https://doi.org/10.1109/asar.2018.8480252
https://doi.org/10.1109/asar.2018.8480252
Publikováno v:
ACM Transactions on Speech and Language Processing. 10:1-63
This research presents a new benchmark dataset for evaluating Short Text Semantic Similarity (STSS) measurement algorithms and the methodology used for its creation. The power of the dataset is evaluated by using it to compare two established algorit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be5e3b29891b22fef9d72ab428ca0a5e
https://doi.org/10.1145/2537046
https://doi.org/10.1145/2537046
The Enhanced ArabChat is a complement of the previous version of ArabChat. This paper details an enhancements development of a novel and practical Conversational Agent for the Arabic language called the “Enhanced ArabChat”. A conversational Agent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c30bc91cb8ef8d8d7392de6e331e602e
https://e-space.mmu.ac.uk/611524/
https://e-space.mmu.ac.uk/611524/
Publikováno v:
International Journal of Advanced Computer Science and Applications. 7
This paper details the development of a new evaluation framework for a text based Conversational Agent (CA). A CA is an intelligent system that handle spoken or/and text based conversations between machine and human. Generally, the lack of evaluation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a2f92d2d98e26b7d1c137e57e1797cb
https://doi.org/10.14569/ijacsa.2016.070304
https://doi.org/10.14569/ijacsa.2016.070304
Publikováno v:
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 20:133-157
Fuzzy decision forests aim to improve the predictive power of single fuzzy decision trees by allowing multiple views of the same domain to be modelled. Such forests have been successfully created for classification problems where the outcome field is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9deef3024901c3f3e9892eb23768fbc9
https://doi.org/10.1142/s0218488512400181
https://doi.org/10.1142/s0218488512400181
Publikováno v:
Sensors & Transducers, Vol 14-2, Iss Special Issue, Pp 1-17 (2012)
Recent advances in wireless communication have made it possible to develop low-cost, and low power Wireless Sensor Networks (WSN). The WSN can be used for several application areas (e.g., habitat monitoring, forest fire detection, and health care). W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doajarticles::c04df3b6edc31b87431fe7e426854da9
http://www.sensorsportal.com/HTML/DIGEST/march_2012/SENSORCOMM/P_SI_198.pdf
http://www.sensorsportal.com/HTML/DIGEST/march_2012/SENSORCOMM/P_SI_198.pdf
Publikováno v:
International Journal of Intelligent Computing Research. 1:10-19
This paper focuses on the implementation of a novel semantic-based Conversational Agent (CA) framework. Traditional CAs interpret scripts consisting of structural patterns of sentences. User input is matched against such patterns and an associated re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4883e36e71c1ec60eaddac994c0342ce
https://doi.org/10.20533/ijicr.2042.4655.2010.0002
https://doi.org/10.20533/ijicr.2042.4655.2010.0002
Publikováno v:
Fuzzy Sets and Systems. 157:2809-2832
This paper proposes a framework which consists of a novel fuzzy inference algorithm to generate fuzzy decision trees from induced crisp decision trees. Fuzzy theoretical techniques are used to fuzzify crisp decision trees in order to soften sharp dec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f823ac75a29f85e7228ecb44e195b00
https://doi.org/10.1016/j.fss.2006.06.002
https://doi.org/10.1016/j.fss.2006.06.002
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 18:1138-1150
Sentence similarity measures play an increasingly important role in text-related research and applications in areas such as text mining, Web page retrieval, and dialogue systems. Existing methods for computing sentence similarity have been adopted fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09c411179c5d369b579246bbe9263df6
https://doi.org/10.1109/tkde.2006.130
https://doi.org/10.1109/tkde.2006.130
Publikováno v:
IEEE Transactions on Neural Networks. 17:942-952
We present a hybrid radial basis function (RBF) sigmoid neural network with a three-step training algorithm that utilizes both global search and gradient descent training. The algorithm used is intended to identify global features of an input-output
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c024cc8dd8956c4f2f2cfb7dd8c8a9b
https://doi.org/10.1109/tnn.2006.875972
https://doi.org/10.1109/tnn.2006.875972