Publications
- Nikovski, D. (2002). State-Aggregation
Algorithms for Learning Probabilistic Models for Robot Control.
Technical Report CMU-TR-02-04, Carnegie Mellon University, Pittsburgh.
- Nikovski, D. (2001).
Learning state grounding for visual servo-control
of visual manipulation. Working notes of the AAAI Stanford Spring
Symposium on Learning Grounded Representations.
- Nikovski, D. and Nourbakhsh, I. (2000).
Learning probabilistic models for decision-theoretic navigation of
mobile robots. Proceedings of the International Conference on
Machine Learningn, Stanford, Palo Alto, CA, June 2000,
pp. 266-274.
- Nikovski, D. (2000). Constructing Bayesian
networks for medical diagnosis from incomplete and partially correct
statistics. IEEE Transactions on Knowledge and Data
Engineering Vol. 12, No. 4, July, 2000, pp. 509 - 516.
- Nikovski, D. and Nourbakhsh, I. (1999).
Learning discrete Bayesian models for autonomous agent navigation.
Proceedings of IEEE International Symposium on Computational
Intelligence in Robotics and Automation, Monterey, CA, November
8-9, 1999, pp. 137-143.
- Nikovski, D. (1998). Learning stationary
temporal probabilistic networks. Conference on Automated Learning
and Discovery, Pittsburgh, June 11-13, 1998.
- Nikovski, D. (1997). Building, maintaining, and reasoning with
Bayesian networks for medical diagnosis. Technical Report
SCR-97-TR-602, Siemens Corporate Research, Princeton.
- Nikovski, D. (1997).
Visual memory-based learning for mobile robot navigation.
In Proceedings of the Second International Conference
on Computational Intelligence and Neurosciences, March 1-5, 1997, Research
Triangle Park, North Carolina, vol.2, pp.1-4, ISBN 0-964356-5-1.
- Dimitrov, D. P., and Nikovski, D. (1997). Artificial
Intelligence. Sofia: Technical University Sofia Press. ISBN
954-438-189-9 (in Bulgarian).
- Nikovski, D., and Zargham, M. (1996).
Comparison of two learning networks for time series prediction.
In Proceedings of the Ninth International Conference IEA/AIE 96
(Industrial and Engineering Applications of Artificial Intelligence and
Expert Systems) , Fukuoka, Japan, June 4-7, 1996, pp.531-535.
- Nikovski, D. (1995).
Adaptive Computation Techniques for Time Series Prediction.
Master's Thesis, Department of Computer Science, Southern Illinois
University at Carbondale, August 1995.
- Nikovski, D. (1995).
Evolving legged locomotion in virtual creatures.
In Proceedings of the Midwest AI and Cognitive Science Society Conference,
Carbondale, IL, April 1995.
- Kasabov, N., D. Nikovski, and E. Peev (1993). Speech recognition based on
Kohonen self-organizing feature maps and hybrid connectionist systems. In
Proceedings of the First New Zealand International Two Stream Conference on
Artificial Neural Networks and Expert Systems. Los Alamitos, CA: IEEE
Computer Society Press, ISBN 0-8186-4260-2.
- Nikovski, D. (1992). Cognitive Modelling of Auditory Perception with
Connectionist Architectures. Bachelor's Thesis, School of Computer
Systems and Control, Technical University Sofia, Bulgaria, June 1992
(in Bulgarian).
- Kasabov, N., and D. Nikovski (1992). Hybrid expert systems in a
connectionist and rule-based environment. In du Boulay, B., and V. Sgurev,
(eds.), Proceedings of the Fifth International Conference on Artificial
Intelligence AIMSA'92, Elsevier Publishers, ISBN 0-444-89752-6.
Unpublished papers
- Nikovski, D. (1997).
Fast reinforcement learning in continuous action spaces.
- Nikovski, D. (1994).
Approaches to the study of consciousness. PSYC 515
term paper, Fall 1994, SIU.
- Nikovski, D. (1994).
Stiff ordinary differential equation methods in
neuronal modeling. ENGR 545 term paper, Fall 1994, SIU.
- Nikovski, D. (1994).
Dynamic simulation methods for animation of legged
locomotion. CS 585 term paper, Fall 1994, SIU.
- Nikovski, D. (1994).
Evolving legged locomotion in virtual creatures. CS 585 final
report, Fall 1994, SIU.
- Nikovski, D., Sr. Ramakrishna, R. K. Koneru, Sr. Jamhed, and A. Konijeti
(1994).
Distal supervised learning for solving inverse kinematic problems.
EE 572 final report, Spring 1994, SIU.