Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Abraham, Siby"'
Autor:
Deolekar, Subodh, Abraham, Siby
This paper demonstrates emergence of computational creativity in the field of music. Different aspects of creativity such as producer, process, product and press are studied and formulated. Different notions of computational creativity such as novelt
Externí odkaz:
http://arxiv.org/abs/1904.12194
Akademický článek
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Autor:
Dongardivev, Jyotshna, Abraham, Siby
Publikováno v:
Neural Computing and Applications (2017)28,1947 to 1974
We propose an optimized parameter set for protein secondary structure prediction using three layer feed forward back propagation neural network. The methodology uses four parameters viz. encoding scheme, window size, number of neurons in the hidden l
Externí odkaz:
http://arxiv.org/abs/1802.00023
Autor:
Deolekar, Subodh, Abraham, Siby
The paper attempts to validate the effectiveness of tree classifiers to classify tabla strokes especially the ones which are overlapping in nature. It uses decision tree, ID3 and random forest as classifiers. A custom made data sets of 650 samples of
Externí odkaz:
http://arxiv.org/abs/1801.01712
The paper attempts to find numerical solutions of Diophantine equations, a challenging problem as there are no general methods to find solutions of such equations. It uses the metaphor of foraging habits of real ants. The ant colony optimization base
Externí odkaz:
http://arxiv.org/abs/1306.0896
The paper introduces a connectionist network approach to find numerical solutions of Diophantine equations as an attempt to address the famous Hilbert's tenth problem. The proposed methodology uses a three layer feed forward neural network with back
Externí odkaz:
http://arxiv.org/abs/1206.1971
Natural phenomenon of coevolution is the reciprocally induced evolutionary change between two or more species or population. Though this biological occurrence is a natural fact, there are only few attempts to use this as a simile in computation. This
Externí odkaz:
http://arxiv.org/abs/1206.1247
The paper proposes artificial intelligence technique called hill climbing to find numerical solutions of Diophantine Equations. Such equations are important as they have many applications in fields like public key cryptography, integer factorization,
Externí odkaz:
http://arxiv.org/abs/1010.0298
The paper introduces particle swarm optimization as a viable strategy to find numerical solution of Diophantine equation, for which there exists no general method of finding solutions. The proposed methodology uses a population of integer particles.
Externí odkaz:
http://arxiv.org/abs/1003.2724
Autor:
Abraham, Siby1 sibyabraham@shcollege.ac.in, Ramanathan, Hareesh N.2 hareeshramanathan@gmail.com
Publikováno v:
SCMS Journal of Indian Management. Jul-Sep2020, Vol. 17 Issue 3, p64-81. 18p.