Patents & Publctns

Patents & Publctns

Alianna J. Maren Patents, Books, and Publications

  • ResearcherID: P-4499-2014
  • Google Scholar h-index: 10 (12/2014)

Italian-renaissance-border-2-thin

Alianna J. Maren Patents

Italian-renaissance-border-2-thin

Alianna J. Maren Books

Statistical Mechanics for Neural Networks and Deep Learning; in progress.
Statistical Mechanics for Neural Networks and Deep Learning; in progress.    

“How can I develop a deep/unified view of statistical mechanics, information theory and machine learning?

“I learned all three fields independently (from physics, EE and cs), and many of the same concepts show up in all of them, some times with different meaning and views, like: entropy, maximum entropy model, Ising model, Boltzmann machine, partition function, information, energy, mean field, variational methods, phase transition, relative entropy, coding/decoding/inference, etc, etc. I felt that my understanding of those concepts are broken, lacking an unified view.”


To answer that Quora-question, we need a book.
 
Statistical Mechanics for Neural Networks and Deep Learning:
In Progress.
 
Access the Overview, Précis, and More.

 

 

Handbook of Neural Computing Applications, by A.J. Maren, C. Harston, & R. Pap
Handbook of Neural Computing Applications, by A.J. Maren, C. Harston, & R. Pap (Academic Press, 1990).
  • Maren, A.J. (writing as Alay’nya) (2011), Unveiling: The Inner Journey (McLean, VA: Mourning Dove Press).
  • Maren, A.J., Harston, C.T., & Pap, R.M. (1990), Handbook of Neural Computing Applications (San Diego: Academic). DOI: 10.13140/2.1.2917.5364

Italian-renaissance-border-2-thin

Alianna J. Maren – Recent Works

Italian-renaissance-border-2-thin

Journal Publications

  • Maren, A.J. (2016) The Cluster Variation Method: A Primer for Neuroscientists. Brain Sciences, 6(4), 44. doi:10.3390/brainsci6040044 pdf
  • Maren, A.J., Pap, R.M., Priddy, K.L, & Akita, R.M. (1995). Neural network applications speed the Navy’s warfighting ability, Naval Research Review, 47 (3), 11-25. pdf
  • Bulsara, A., Maren, A.J., & Schmera, G. (1993). Single effective neuron: dendritic coupling effects and stochastic resonance, Bio. Cybernetics 70 (2), 145-156. DOI: 10.1007/BF00200828 source
  • Minsky, V., & Maren, A.J. (1990). “A multilayered, cooperative-competitive neural network for segmented scene analysis,” J. Neural Network Computing 1 (3) (Winter), 14-33.
  • Maren, A.J., Lin, S.H., Langley, R.H., & Eyring, L. (1984). A theoretical model for hysteresis in solid state phase transitions, J. Solid State Chem., 53, 329-343. doi:10.1016/0022-4596(84)90110-5 pdf

Italian-renaissance-border-2-thin

Conference Publications

  • Maren, A.J., Donovan, D., Mathia, K., Robinson, T., & Saeks, R. (1997). New sensor fusion processor uses biological sensor fusion principles for advanced target correlation, IRIS National Symposium on Sensor and Data Fusion (MIT Lincoln Laboratory, Lexington, MA; April 14-17, 1997). (Distribution authorized to U.S. Government agencies only.) title half-page .
  • Maren, A.J., Akita, R.M., Donovan, D., Mathia, K., Davis, J. (1997). Biological sensor fusion inspires novel sensor design, Joint Service Combat Identification Systems Conference (CISC-97, San Diego). source/pdf
  • Saeks, R.E., Cox, C.J., Mathia, K., Maren, A.J. (1997). Asymptotic dynamic programming: preliminary concepts and results. Proc. Int’l. Conf. Neural Networks (Volume:4 ) (9-12 Jun 1997, Houston, TX), 2273 – 2278. DOI 10.1109/ICNN.1997.614399 source pdf
  • Maren, A.J. (1995). Neural networks for intelligent agents: a new horizon. World Congress on Neural Networks (WCNN’95) (Washington, D.C., July 17-21, 1995). pdf.
  • Maren, A.J. (1993). Neural Networks for Intelligent Agents (Extended Abstract), IEEE SMC Conference (1993).
  • Maren, A.J. (1993). Free energy as driving function in neural networks. 1993 Symposium on Nonlinear Theory and Its Applications (Hawaii: Dec. 5-10, 1993). DOI 10.13140/2.1.1621.1529 pdf
  • Bulsara, A., & Maren, A.J. (1993). Coupled neural-dendritic processes: cooperative stochastic effects and the analysis of spike trains, in Rethinking Neural Networks: Quantum Fields and Biological Data, selected proceedings of the First Appalachian Conference on Neurodynamics, Radford University, 1992. (Hillsdale, NJ: Lawrence Erlbaum Associates, Inc. & INNS).
  • Schwartz, E. & Maren, A.J. (1993). Domains of Interacting Neurons: A Statistical Thermodynamics Model, World Congress on Neural Networks (WCNN’93 – Portland), (Portland, OR: July 11-15, 1993), I-577 – I-580.
  • Maren, A.J., Lothers, M.D., Pap, R.M., & Akita, R. (1992). Neural network sensor data fusion methods for naval air traffic control, Proc. Navy SBIR Neural Network Conference (Arlington, VA: June 4-5, 1992), 109-116. doi:10.13140/RG.2.1.5178.3526 pdf
  • Maren, A.J., Schwartz, E., & Seyfried, J. (1992). Configurational Entropy Stabilizes Pattern Formation in a Hetero-Associative Neural Network, 1992 IEEE International Conference on Systems, Man, & Cybernetics (Chicago, Il: Oct. 18-21, 1992), 89-93. DOI: 10.1109/ICSMC.1992.271796 pdf.
  • Maren, A.J. (1991). A logical topology of neural networks, Proceedings of the Second Workshop in Neural Networks – Academia, Industry, NASA, & Defense (WNN-AIND 91) (Auburn, GA; Feb. 14-16, 1991). doi:10.13140/RG.2.1.3503.2806 pdf
  • Maren, A.J. (1991). Neural networks for enhanced human-computer interactions. IEEE Control Systems Magazine 11(5) (Aug, 1991) 34-36. doi:10.1109/37.90537 pdf
  • Pap, R.M., Harston, C.T., Maren, A.J., Parten, C.R., Rich, M.L., & Akita, R.M. (1990). Neural network implementation of multisensory fusion for target identification problems (1990). 3rd National Sensor Fusion Conference. (Distribution authorized to U.S. Government agencies only.) title half-page .
  • Maren, A.J. (1989). A Hierarchical Data Structure Representation for Fusing Multisensor Information, Sensor Fusion II, Proc. SPIE VoL 1100, March 1989, pp. 162-ff.
  • Maren, A.J. (1988). The IEEE 1st International Conference on Neural Networks – a first-hand account, SIGART Newsletter, Number 103, (January 1988) 27-29.
  • Maren, A.J., Ali, M. (1988). Hierarchical Scene Structure Representations to Facilitate Image Understanding, IEA/AIE (Vol. 2) 1988 : 657-667.

Italian-renaissance-border-2-thin

Workshop Reports

Italian-renaissance-border-2-thin

Workshop Organization and Participation

  • Workshop on Collaborative Research into Learning and Intelligent Systems (1995). Member – Learner-System Interaction Breakout Group. Sponsored by the National Science Foundation (Washington, DC, 1995).
  • World Congress on Neural Networks (1995). Program Committee (Washington, D.C., July 17-21, 1995).
  • Maren, A.J. (1991). Neural Networks for Enhanced Human-Computer Interactions, Workshop on Neural Networks: Academia/Industry/NASA/Defense (Auburn, AL, Feb. 11-13, 1991), and reprinted in IEEE Control Systems, 1991, 34-36. DOI: 10.1109/37.90537 pdf.

Italian-renaissance-border-2-thin

Short Courses

  • Maren, A.J., Leven, S., & Briggs, A.B.. (1995). Neural networks to advance intelligent systems: A New Frontier, Presented at WCNN’95: World Congress on Neural Networks (Washington, D.C., July 17-21, 1995).

Italian-renaissance-border-2-thin

White Papers & Preprints

Italian-renaissance-border-2-thin

Industry Technical Reports (Submitted to Government Agencies)

Italian-renaissance-border-2-thin

Recent Talks

Alianna J. Maren – Work-in-Progress

  • Maren, A.J. (2016) Brain-Based Computing (PPT). PPT
  • Maren, A.J. (2015) How the Brain Solves Tough Problems. In Making Sense: Extracting Meaning from Text by
    Matching Entities and Terms to Ontologies and Concepts
    , pdf