• 
  Terry Windeatt, Gholamreza Ardeshir:
  Boosted Tree Ensembles for Solving Multiclass Problems. Multiple Classifier Systems 2002: 42-51
• 2001
• 
  Wolfgang Utschick, Werner Weichselberger:
  Stochastic Organization of Output Codes in Multiclass Learning Problems. Neural Comput. 13(5): 1065-1102 (2001)
• 
  Euisun Choi, Chulhee Lee:
  Optimizing feature extraction for multiclass problems. IEEE Trans. Geosci. Remote. Sens. 39(3): 521-528 (2001)
• 
  Koby Crammer, Yoram Singer:
  Ultraconservative Online Algorithms for Multiclass Problems. COLT/EuroCOLT 2001: 99-115
• 2000
• 
  Paul Dupuis, Kavita Ramanan:
  A Multiclass Feedback Queueing Network with a Regular Skorokhod Problem. Queueing Syst. Theory Appl. 36(4): 327-349 (2000)
• 
  Koby Crammer, Yoram Singer:
  On the Learnability and Design of Output Codes for Multiclass Problems. COLT 2000: 35-46
• 
  Chulhee Lee, Euisun Choi:
  Optimizing Feature Extraction for Multiclass Problems. ICPR 2000: 2402-2405
• 
  Francesco Masulli, Giorgio Valentini:
  Effectiveness of Error Correcting Output Codes in Multiclass Learning Problems. Multiple Classifier Systems 2000: 107-116
• 1999
• 
  Jesús Cid-Sueiro, Juan Ignacio Arribas, Sebastian Urban-Munoz, Aníbal R. Figueiras-Vidal:
  Cost functions to estimate a posteriori probabilities in multiclass problems. IEEE Trans. Neural Networks 10(3): 645-656 (1999)
• 1998
• 
  Jie Li, Hisao Kameda:
  Load Balancing Problems for Multiclass Jobs in Distributed/Parallel Computer Systems. IEEE Trans. Computers 47(3): 322-332 (1998)
• 
  Jacek Jelonek, Jerzy Stefanowski:
  Experiments on Solving Multiclass Learning Problems by n²-classifier. ECML 1998: 172-177
• 1997
• 
  Myung-Chan Kim, Chong-Ho Choi:
  A New Weight Initialization Method for the MLP with the BP in Multiclass Classification Problems. Neural Process. Lett. 6(1-2): 11-23 (1997)
• 
  Robert E. Schapire:
  Using output codes to boost multiclass learning problems. ICML 1997: 313-321
• 1995
• 
  Thomas G. Dietterich, Ghulum Bakiri:
  Solving Multiclass Learning Problems via Error-Correcting Output Codes. J. Artif. Intell. Res. 2: 263-286 (1995)
• 
  Partha P. Bhattacharya, Leonidas Georgiadis, Pantelis Tsoucas:
  Problems of Adaptive Optimization In Multiclass M/GI/1 Queues with Bernoulli Feedback. Math. Oper. Res. 20(2): 355-380 (1995)
• 
  Rangachari Anand, Kishan Mehrotra, Chilukuri K. Mohan, Sanjay Ranka:
  Efficient classification for multiclass problems using modular neural networks. IEEE Trans. Neural Networks 6(1): 117-124 (1995)
• 
  Thomas G. Dietterich, Ghulum Bakiri:
  Solving Multiclass Learning Problems via Error-Correcting Output Codes. CoRR cs.AI/9501101 (1995)
• 1993
• 
  J. Michael Harrison, Viên Nguyen:
  Brownian models of multiclass queueing networks: Current status and open problems. Queueing Syst. Theory Appl. 13(1-3): 5-40 (1993)
• 1976
• 
  P. J. Horne:
  Pattern Recognition Techniques in Multiclass Problems with Special Reference to Vowel Sounds. Queen Mary University of London, UK, 1976
• 1974
• 
  Manabu Ichino, Keiji Hiramatsu:
  Suboptimum Linear Feature Selection in Multiclass Problem. IEEE Trans. Syst. Man Cybern. 4(1): 28-33 (1974)
• 1970
• 
  Keinosuke Fukunaga, David R. Olsen:
  Piecewise linear discriminant functions and classification errors for multiclass problems (Corresp.). IEEE Trans. Inf. Theory 16(1): 99-100 (1970)

[<< prev] #120 -- #140