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Two New Decomposition Algorithms for Training Bound-Constrained Support Vector Machines*

.J., Keerthi S., Sundararajan S., A dual coordinate descent method for large-scale linear SVM, Proceedings of the 25th international conference on Machine learning , ACM, 2008, 408-415. [9] Hsu C.W., Lin C.J., A simple decomposition method for support vector machines, Machine Learning , 46, 1-3, 2002, 291{314. [10] Joachims T., SVMlight, [11] Joachims T., Training linear SVMs in linear time, ACM SIGKDD International Conference On Knowledge Discovery and Data Mining , 2006, 217-226. [12] Joachims T., Finley T., Yu C.N., Cutting

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Generalization of Pawlak’s Approximations in Hypermodules by Set-Valued Homomorphisms

rough prime (primary) ideals and rough fuzzy prime (primary) ideals in commutative rings , Inform. Sci. 178 (2008) 1343-1354. [14] O. Kazancı, Sultan Yamak and B. Davvaz, The lower and upper approximations in a quotient hypermodule with respect to fuzzy sets , Inform. Sci. 178(10) (2008) 2349-2359. [15] M. Kondo, On the srtucture of generalized rough sets , Inform. Sci 176 (2006) 589-600. [16] N. Kuroki, Rough ideals in semigroups , Inform. Sci 100 (1997) 139-163. [17] N. Kuroki and P. P. Wang, The lower and upper approximations in a fuzzy

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A Survey on Identifying and Addressing Business Analysis Problems

-6. [3] Bobkowska A., Wyrzykowski K., A model for the activities of business analysts in public administration for the prevention of hidden requirements (in Polish: Model działania analityka biznesowego w administracji publicznej w celu przeciwdziałania ukrytym wymaganiom), Roczniki Kolegium Analiz Ekonomicznych/Szkoła Główna Handlowa, 42, 2016, 13-26. [4] Charette R.N., Why software fails, IEEE Spectrum 42, 9, 2005, 42-49. [5] Cheng B., Atlee J., Research directions in requirements engineering, In: Proc. of Future of Software

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RNApolis: Computational Platform for RNA Structure Analysis

References [1] Adamiak R.W., Blazewicz J., Formanowicz P., Gdaniec Z., Kasprzak M., Popenda M., Szachniuk M., An algorithm for an automatic NOE pathways analysis of 2D NMR spectra of RNA duplexes, Journal of Computational Biology, 11 , 2004, 163-180. [2] Antczak M., Blazewicz J., Lukasiak P., Milostan M., Krasnogor N., Palik G., DomAns-Pattern based method for protein domain boundaries prediction and analysis, Foundations of Computing and Decision Sciences , 36 , 2011, 99-119. [3] Antczak M., Zok T., Popenda M., Lukasiak P., Adamiak R

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Universes and simulations: Civilizational development in nested embedding

life views on mind and consciousness. Foundations of Computing and Decision Sciences, 43(4), 2018, submitted. [9] Bohm D. Quantum theory as an indication of a new order in physics. B. Implicate and explicate order in physical law. Foundations of Physics, 3(2):139-168, 1973. [10] Bostrom N. Are we living in a computer simulation? The Philosophical Quarterly, 53(211):243-255, 2003. [11] Bostrom N. and Kulczycki M. A patch for the simulation argument. Analysis, 71(1):54-61, 2011. [12] Brereton D. P

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Collaborative Filtering Based on Bi-Relational Data Representation

., Reflective Random Indexing and Indirect Inference: A Scalable Method for Discovery of Implicit Connections, Journal of Biomedical Informatics, 43, 2, 2010, 240-256. [4] Cremonesi P., Koren Y., Turrin R., Performance of Recommender Algorithms on Topn Recommendation Tasks, in: Proceedings of the Fourth ACM Conference on Recommender Systems (RecSys ’10), New York, NY, USA, 2010, pp. 39--46. [5] Damljanovic D., Petrak J., Lupu M., Cunningham H., Carlsson M., Engstrom G., Andersson B., Random Indexing for Finding Similar Nodes within Large RDF

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Mappism: formalizing classical and artificial life views on mind and consciousness

. [8] Coren S. and Girgus J. S. Seeing is deceiving: The psychology of visual illusions . Lawrence Erlbaum, 1978. [9] Dennett D. C. Consciousness Explained . Penguin Books, 1991. [10] Dennett D. C. Sweet Dreams: Philosophical Obstacles to a Science of Consciousness . MIT Press, 2005. [11] Descartes R. A Discourse on Method . 1637. [12] Eysenck M. W. and Keane M. T. Cognitive Psychology: a student’s handbook . Psychology Press, 6th ed. edition, 2010. [13] Fitelson B. and Zalta E. N. Steps toward a computational metaphysics. Journal

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Software Measurement and Defect Prediction with Depress Extensible Framework

mining software: an update,” ACM SIGKDD Explorations Newsletter, vol. 11, no. 1, pp. 10-18, 2009. [4] R. Ihaka and R. Gentleman, “R: A language for data analysis and graphics,” Journal of computational and graphical statistics, vol. 5, no. 3, pp. 299-314, 1996. [5] M. U. Guide, “The mathworks,” Inc., Natick, MA, vol. 5, 1998. [6] M. R. Berthold, N. Cebron, F. Dill, T. R. Gabriel, T. Kötter, T. Meinl, P. Ohl, C. Sieb, K. Thiel, and B. Wiswedel, “KNIME: The Konstanz Information Miner,” in Studies in Classification, Data

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Trustworthy Online Shopping with Price Impact

, Journal of Applied Business Research (JABR), 30, 5, 2014, 1365-1375. [28] Szostak N., Wasik S., Blazewicz J., Hypercycle, PLOS Computational Biology, 12, 4, 2016, 1-13. [29] Thakur R., Srivastava M., Towers N., A study on the impact of consumer risk perception and innovativeness on online shopping in India, International Journal of Retail & Distribution Management, 43, 2, 2015. [30] The University of Reading Statistical Services Centre | Biometrics Advisory and Support Service to DFID, Approaches to the Analysis of Survey

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An Optimized K-Harmonic Means Algorithm Combined with Modified Particle Swarm Optimization and Cuckoo Search Algorithm

] Senthilnath, J., V. Das, S.N. Omkar, and V. Mani, Clustering Using Levy Flight Cuckoo Search , in Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012) , J.C. Bansal, et al., Editor, Springer India. 2013, 65-75. [42] Servet, M.K., M.S. Kiran, E. ÖZceylan, M. Gündüz, and T. Paksoy, Swarm intelligence approaches to estimate electricity energy demand in Turkey. Know.-Based Syst. , 36 , 2012, 93-103. [43] Shengxiang, Y. and L. Changhe, A Clustering Particle Swarm Optimizer for Locating and Tracking

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