| The MONK's Problems: A Performance Comparison of Different Learning Algorithems S Thrun Technical Report of Carnegie Mellon University, 1991 | 654 | 1991 |
| Multistrategy learning from engineering data by integrating inductive generalization and genetic algorithms JW Bala Machine Learning IV: A Multistrategy Approach., 471-488, 1994 | 24 | 1994 |
| Semi-autonomous evolution of object models for adaptive object recognition PW Pachowicz IEEE transactions on systems, man, and cybernetics 24 (8), 1191-1207, 1994 | 17 | 1994 |
| A performance comparison of different learning algorithms S Thrun, J Bala, E Bloedorn, I Bratko, B Cestnik, K De Jong, S Dzeroski, ... Technical report, 91-197, 1991 | 17 | 1991 |
| Texture recognition through machine learning and concept optimization PW Pachowicz, JW Bala Reports of the Machine Learning and Inference Laboratory 1051, 95-4, 1991 | 17 | 1991 |
| The MONK’s problems: A performance comparison of different learning algorithms (Technical Report CS-91-197) SB Thrun, J Bala, E Bloedorn, I Bratko, B Cestnik, J Cheng, KD Jong, ... Computer Science Department, Carnegie Mellon University, Pittsburgh, PA, 1991 | 16 | 1991 |
| Learning noise tolerant classification procedures by integrating inductive learning and genetic algorithms J Bala, KA De Jong, P Pachowicz Proceedings of the First International Workshop on Multistrategy Learning …, 1991 | 15 | 1991 |
| Online model modification for adaptive texture recognition in image sequences SW Baik, PW Pachowicz IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2002 | 13 | 2002 |
| The Monk’s Problems: A Perfor. Comparison of Different Learning Algorithm, a Report SB Thrun, J Bala, E Bloedorn, I Bratko, B Cestnik, J Cheng, K De Jong, ... Carnegie Mellon University CMU-CS-91-197, 1991 | 13 | 1991 |
| Progress on vision through learning at George Mason University JW Bala, RS Michalski, PW Pachowicz Proceedings of the 1994 Image Understanding Workshop, 191-207, 1994 | 11 | 1994 |
| Improving recognition effectiveness of noisy texture concepts through optimization of their descriptions PW Pachowicz, JW Bala Machine Learning Proceedings 1991, 625-629, 1991 | 11 | 1991 |
| Competitive reinforcement learning in continuous control tasks M Abramson, P Pachowicz, H Wechsler Proceedings of the International Joint Conference on Neural Networks, 2003 …, 2003 | 10 | 2003 |
| Building and analyzing timed influence net models with internet-enabled pythia PW Pachowicz, LW Wagenhals, J Pham, AH Levis Modeling and Simulation for Military Operations II 6564, 91-99, 2007 | 9 | 2007 |
| Invariant object recognition: A model evolution approach PW Pachowicz Proc. DARPA IUW, Washington, DC, 715-724, 1993 | 9 | 1993 |
| Using genetic algorithms to improve the performance of classification rules produced by symbolic inductive methods J Bala, K Dejong, P Pachowicz Methodologies for Intelligent Systems: 6th International Symposium, ISMIS'91 …, 1991 | 9 | 1991 |
| Integrating low-level features computation with inductive learning techniques for texture recognition PW Pachowicz International Journal of Pattern Recognition and Artificial Intelligence 4 …, 1990 | 9 | 1990 |
| Low-level numerical characteristics and inductive learning methodology in texture recognition PW Pachowicz IEEE International Workshop on Tools for Artificial Intelligence, 91, 92, 93 …, 1989 | 9 | 1989 |
| A naive geography analyst system with cognitive support of imagery exploitation S Baik, J Bala, A Hadjarian, P Pachowicz Mexican international conference on artificial intelligence, 40-48, 2004 | 8 | 2004 |
| The fusion of supervised and unsupervised techniques for segmentation of abnormal regions A Hadjarian, J Bala, S Gutta, S Trachiotis, P Pachowicz Digital Mammography: Nijmegen, 1998, 299-302, 1998 | 7 | 1998 |
| IA-CHAMELEON: A SAR wide area image analysis aid PW Pachowicz, A Williams Proc. ATRGW Workshop, 1996 | 7 | 1996 |
