Bernoulli’s Principle of Insufficient Reason and Conservation of Information in Computer SearchWilliam A. Dembski and Robert J. Marks II
Conservation of Information in Search: Measuring the Cost of SuccessWilliam A. Dembski and Robert J. Marks II
LIFE’S CONSERVATION LAW: Why Darwinian Evolution Cannot Create Biological InformationWilliam A. Dembski and Robert J. Marks II
The Search for a Search: Measuring the Information Cost of Higher Level SearchWilliam A. Dembski and Robert J. Marks II
Efficient Per Query Information Extraction from a Hamming Oracle [with Erratum]Winston Ewert, George Montañez, William A. Dembski, Robert J. Marks II
Evolutionary Synthesis of Nand Logic: Dissecting a Digital OrganismWinston Ewert, William A. Dembski and Robert J. Marks II
A Vivisection of the ev Computer Organism: Identifying Sources of Active InformationGeorge Montañez, Winston Ewert, William A. Dembski, Robert J. Marks II
OTHER PUBLICATIONS
Booming and Crashing Populations and Easter IslandWilliam F. Basener and David RossWilliam F. Basener and David Ross, “Booming and Crashing Populations and Easter Island”, SIAM J. Appl. Math. 65 (2004/05), no. 2, pp.684-701.
Topology and Its ApplicationsWilliam F. BasenerWileyISBN 978-0471687559November 3, 2006
Time series prediction with recurrent neural networks trained by a hybrid PSO-EA algorithmXindi Cai, Nian Zhang, Ganesh K. Venayagamoorthy, and Donald C. Wunsch, II.Xindi Cai, Nian Zhang, Ganesh K. Venayagamoorthy, and Donald C. Wunsch, II. Time series prediction with recurrent neural networks trained by a hybrid PSO-EA algorithm. Neurocomput., 70:2342–2353, 2007.
Training Winner-Take-All Simultaneous Recurrent Neural NetworksXindi Cai, D.V. Prokhorov, and D.C. Wunsch.Xindi Cai, D.V. Prokhorov, and D.C. Wunsch. Training Winner-Take-All Simultaneous Recurrent Neural Networks. Neural Networks, IEEE Transactions on, 18:674 –684, may. 2007.
A spherical dose model for radiosurgery plan optimizationP.S. Cho, H.G. Kuterdem and R.J. Marks IIP.S. Cho, H.G. Kuterdem and R.J. Marks II, “A spherical dose model for radiosurgery plan optimization”, Phys. Med. Biol, vol.43, pp.3145-3148 (1998).
Simulated Autonomous Agents Utilizing Self-Reflection, Instincts and External Behavior Learning in a Simulated Environment: Orgs in OrglandGeorge Chrysanthakopoulos and Robert J. Marks IGeorge Chrysanthakopoulos & Robert J. Marks II,”Simulated Autonomous Agents Utilizing Self-Reflection, Instincts and External Behavior Learning in a Simulated Environment: Orgs in Orgland”, Proceedings of the 1998 IEEE International Conference on Evolutionary Computation (ICEC) at the 1998 IEEE World Congress on Computational Intelligence, Anchorage, Alaska, May 5-9, 1998, pp.727-734
Genomic Systems Design: A novel, biologically-based framework for enhancing the adaptive, autonomous capabilities of computer systemsWilliam E. Combs, Jeffrey J. Weinschenk, Robert J. Marks IIWilliam E. Combs, Jeffrey J. Weinschenk, Robert J. Marks II, “Genomic Systems Design: A novel, biologically-based framework for enhancing the adaptive, autonomous capabilities of computer systems”, FUZZ-IEEE 2004, IEEE International Conference on Fuzzy Systems, 25-29 July, 2004, Budapest.
No Free Lunch : Why Specified Complexity Cannot Be Purchased Without IntelligenceWilliam A. DembskiRowman & LittlefieldISBN 978-0742512979December 2001
The Design Inference Eliminating Chance Through Small Probabilities.William A. DembskiCambridge Univ PressISBN 978-0521623872September 13, 1998
The Design Revolution: Answering The Toughest Questions About Intelligent DesignWilliam A. DembskiIVP BooksISBN 978-0830832163January 30, 2004
The Design of Life: Discovering Signs of Intelligence In Biological SystemsWilliam A. Dembski and Jonathan WellsFoundation for Thought and EthicsISBN 978-0980021301November 19, 2007
Detection of Influence of Brain-Stem Neurons and Intra-Cranial Field Potentials on the Diaphragm ActivityWitali L. Dunin-Barkowski, John M. Orem, Donald C. WunschWitali L. Dunin-Barkowski, John M. Orem, Donald C. Wunsch: Detection of Influence of Brain-Stem Neurons and Intra-Cranial Field Potentials on the Diaphragm Activity. CBMS 1998: 264-269
Phase-based cerebellar learning of dynamic signalsWitali L. Dunin-Barkowski, Donald C. WunschWitali L. Dunin-Barkowski, Donald C. Wunsch: Phase-based cerebellar learning of dynamic signals. Neurocomputing 32-33: 709-725 (2000)
Real-Time Neural Network Inversion on the SRC-6e Reconfigurable ComputerRussell W. Duren, Robert J. Marks II, Paul D. Reynolds and Matthew L. TrumboRussell W. Duren, Robert J. Marks II, Paul D. Reynolds and Matthew L. Trumbo, “Real-Time Neural Network Inversion on the SRC-6e Reconfigurable Computer,” IEEE Transactions on Neural Networks, vol. 18, no. 3, May 2007 pp. 889-901.
Principal Manifolds for Data Visualization and Dimension Reduction (Lecture Notes in Computational Science and Engineering)Alexander N. Gorban, Balázs Kégl, Donald C. Wunsch, and Andrei ZinovyevSpringerISBN 978-3540737490October 24, 2007
Emergent Behaviors of Protector, Refugee and Aggressor SwarmI.A. Gravagne and R.J. Marks IIi.A. Gravagne & R.J. Marks II, “Emergent Behaviors of Protector, Refugee and Aggressor Swarm,” IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, Volume 37, Issue 2, April 2007, pp. 471 – 476.
Algorithms for derivation of structurally stable Hamiltonian signed graphsFrank Harary, Meng-Hiot Lim, Amit Agarwal, and Donald C. Wunsch.Frank Harary, Meng-Hiot Lim, Amit Agarwal, and Donald C. Wunsch. Algorithms for derivation of structurally stable Hamiltonian signed graphs. Int. J. Comput. Math., 81:1349–1356, 2004.
Advanced Intelligent Computing Theories and Applications: With Aspects of Contemporary Intelligent Computing Techniques (Communications in Computer and Information Science)De-Shuang Huang, Donald C. Wunsch, Daniel S. Levine, and Kang-Hyun JoSpringerISBN 978-3540859291October 7, 2008
Inversion of feedforward neural networks: algorithms and applicationsC.A. Jensen, R.D. Reed, R.J. Marks II, M.A. El-Sharkawi, Jae-Byung Jung, R.T. Miyamoto, G.M. Anderson, C.J. EggenC.A. Jensen, R.D. Reed, R.J. Marks II, M.A. El-Sharkawi, Jae-Byung Jung, R.T. Miyamoto, G.M. Anderson, C.J. Eggen, “Inversion of feedforward neural networks: algorithms and applications”, Proceedings of the IEEE, Volume: 87 9, Sept. 1999 , Page(s): 1536 -1549
Neural Networks and MicromechanicsErnst Kussul, Tatiana Baidyk, and Donald C. WunschSpringerISBN 978-3642025341December 7, 2009
Advanced Topics in Shannon Sampling and Interpolation TheoryRobert J. Marks II and editor.Springer-VerlagISBN 978-0387979069December 18, 1992
Handbook of Fourier Analysis & Its ApplicationsRobert J. Marks IIOxford University PressISBN 978-0195335927January 8, 2009
Intelligence: Computational Versus ArtificialR.J. Marks IIR.J. Marks II, “Intelligence: Computational Versus Artificial”, IEEE Transactions on Neural Networks, vol. 4, p 737 (September, 1993).
Introduction to Shannon Sampling and Interpolation TheoryRobert J. Marks IISpringer-VerlagISBN 978-0387973913January 1991
Nonregressivity in Switched Linear Circuits and Mechanical SystemsR.J. Marks II, Ian Gravagne, John M. Davis, Jeffrey J. DaCunhR.J. Marks II, Ian Gravagne, John M. Davis, Jeffrey J. DaCunha “Nonregressivity in Switched Linear Circuits and Mechanical Systems,” Mathematical and Computer Modelling, vol. 43, pp.1383-1392, (2006).
A proposition on memes and meta-memes in computing for higher-order learningRyan J. Meuth, Meng-Hiot Lim, Yew-Soon Ong, Donald C. WunschRyan J. Meuth, Meng-Hiot Lim, Yew-Soon Ong, Donald C. Wunsch: A proposition on memes and meta-memes in computing for higher-order learning. Memetic Computing 1(2): 85-100 (2009)
Computational Intelligence : A Dynamic System PerspectiveMarimuthu PalaniswamiIEEE PressISBN 978-0780311824September 1996
Survey of Clustering AlgorithmsR. Xu and D. Wunsch.R. Xu and D. Wunsch. Survey of Clustering Algorithms. IEEE Transactions on Neural Networks, 16:645–678, May 2005.
Noninvasive Biomagnetic Sensing of Biological CurrentsC. Ramon, P. Czapski, R.J. Marks II, H.C. Lai and S. LeeC. Ramon, P. Czapski, R.J. Marks II, H.C. Lai and S. Lee, “Noninvasive Biomagnetic Sensing of Biological Currents”, National Acadamies of Science and Engineering National Research Council of the United States, Radio Science Meeting, June 19-24, 1994, Seattle, p. 272.
An Evolutionary Algorithm for Function Inversion and Boundary MarkingRussell D. Reed and Robert J. Marks IRussell D. Reed and Robert J. Marks II,”An Evolutionary Algorithm for Function Inversion and Boundary Marking”Proceedings of the IEEE International Conference on Evolutionary Computation, p. 794-797, November 26-30, 1995.
Neural Smithing: Supervised Learning in Feedforward Artificial Neural NetworksRussell D. Reed and Robert J. MarksMIT PressISBN 978-0262181907March 26, 1999
Neurosmithing: Techniques to improve network learningRussell Reed and Robert J. Marks IRussell Reed and Robert J. Marks II,”Neurosmithing: Techniques to improve network learning”, in The Handbook of Neural Networks, M. Arbib, Editor, (MIT Press, 1995).
Neural network explanation using inversionEmad W. Saad and Donald C. Wunsch, II.Emad W. Saad and Donald C. Wunsch, II. Neural network explanation using inversion. Neural Netw., 20:78–93, 2007.
Query-based learning for aerospace applicationsE.W. Saad, J.J. Choi, J.L. Vian, and II Wunsch, D.C.E.W. Saad, J.J. Choi, J.L. Vian, and II Wunsch, D.C. Query-based learning for aerospace applications. Neural Networks, IEEE Transactions on, 14:1437 – 1448, nov. 2003.
Hamilton-Jacobi-Bellman Equations and Approximate Dynamic Programming on Time ScalesJohn Seiffertt, Suman Sanyal, Donald C. WunschJohn Seiffertt, Suman Sanyal, Donald C. Wunsch: Hamilton-Jacobi-Bellman Equations and Approximate Dynamic Programming on Time Scales. IEEE Transactions on Systems, Man, and Cybernetics, Part B 38(4): 918-923 (2008)
A Mathematician’s View of Evolution,Granville SewellGranville Sewell, “A Mathematician’s View of Evolution,” The Mathematical Intelligencer 22, no. 4 (2000), pp. 5-7.
Can ANYTHING Happen in an Open System?Granville SewellGranville Sewell, “Can ANYTHING Happen in an Open System?” The Mathematical Intelligencer 23 (2001), no. 4, pp.8-10.
Computational Methods of Linear AlgebraGranville SewellWiley-InterscienceISBN 978-0471735793July 20, 2005 (second edition)
In the Beginning and Other Essays on Intelligent DesignGranville SewellDiscovery Institute PressISBN 978-0979014147Feburary 2010
The Numerical Solution of Ordinary and Partial Differential EquationsGranville SewellWiley-InterscienceISBN 978-0471735809July 11, 2005 (second edition)
The 7-Piece Perfect Play Lookup Database for the Game of CheckersE. Trice and G. DodgenE. Trice and G. Dodgen, “The 7-Piece Perfect Play Lookup Database for the Game of Checkers”, ICGA Journal Vol. 26, No. 4 – December 2003, pp. 229-238.
On the avoidance of rule explosion in fuzzy inference enginesJeffrey J. Weinschenk, William E. Combs, Robert J. Marks IIJeffrey J. Weinschenk, William E. Combs, Robert J. Marks II, “On the avoidance of rule explosion in fuzzy inference engines, ” International Journal of Information Technology and Intelligent Computing, vol.1, #4 (2007).
Clustering (IEEE Press Series on Computational Intelligence)Rui Xu and Don WunschWiley-IEEE PressISBN 978-0470276808October 24, 2008
Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion MapsRui Xu, Steven Damelin, Boaz Nadler, Donald C. Wunsch IIRui Xu, Steven Damelin, Boaz Nadler, Donald C. Wunsch II: Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps. BMEI (1) 2008: 245-249
Inference of Genetic Regulatory Networks with Recurrent Neural Network Models Using Particle Swarm OptimizationRui Xu, L. Ronald Frank, and Donald C. Wunsch IIRui Xu, L. Ronald Frank, and Donald C. Wunsch II: Inference of Genetic Regulatory Networks with Recurrent Neural Network Models Using Particle Swarm Optimization. IEEE / ACM Transactions on Computational Biology and Bioinformatics, Vol. 4, No. 4, Oct-Dec 2007, pp. 674-684.
Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimizationRui Xu, Ganesh K. Venayagamoorthy, Donald C. Wunsch IIRui Xu, Ganesh K. Venayagamoorthy, Donald C. Wunsch II: Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization. Neural Networks 20(8): 917-927 (2007)
Multiclass Cancer Classification Using Semisupervised Ellipsoid ARTMAP and Particle Swarm Optimization with Gene Expression DataRui Xu, Georgios C. Anagnostopoulos, and Donald C. Wunsch.Rui Xu, Georgios C. Anagnostopoulos, and Donald C. Wunsch. Multiclass Cancer Classification Using Semisupervised Ellipsoid ARTMAP and Particle Swarm Optimization with Gene Expression Data. IEEE/ACM Trans. Comput. Biol. Bioinformatics, 4:65–77, 2007.
microRNA expression profile based cancer classification using Default ARTMAPRui Xu, Jie Xu, Donald C. Wunsch IIRui Xu, Jie Xu, Donald C. Wunsch II: MicroRNA expression profile based cancer classification using Default ARTMAP. Neural Networks 22(5-6): 774-780 (2009)
Computational Intelligence : Imitating LifeJacek Zurada and Robert J. Marks II and Charles J. RobinsonIEEE PressISBN 978-0780311046July 1994
