Multiple classifier systems. 4th international workshop, MCS 2003, Guildford, UK, June 11--13, 2003. Proceedings
The articles of this volume will be reviewed individually. The preceding workshop has been reviewed (see Zbl 0997.68677). Indexed articles: \textit{Kamel, Mohamed S.; Wanas, Nayer M.}, Data dependence in combining classifiers, 1-14 [Zbl 1040.68660] \textit{Oza, Nikunj C.}, Boosting with averaged weight vectors, 15-24 [Zbl 1040.68723] \textit{Kuncheva, Ludmila I.}, Error bounds for aggressive and conservative AdaBoost, 25-34 [Zbl 1040.68673] \textit{McDonald, Ross A.; Hand, David J.; Eckley, Idris A.}, An empirical comparison of three boosting algorithms on real data sets with artificial class noise, 35-44 [Zbl 1040.68702] \textit{Arenas-García, J.; Figueiras-Vidal, A. R.; Sharkey, A. J. C.}, The beneficial effects of using multi-net systems that focus on hard patterns, 45-54 [Zbl 1040.68581] \textit{Raudys, Šarunas; Roli, Fabio}, The behavior knowledge space fusion method: Analysis of generalization error and strategies for performance improvement, 55-64 [Zbl 1040.68734] \textit{Raudys, Šarunas; Somorjai, Ray; Baumgartner, Richard}, Reducing the overconfidence of base classifiers when combining their decisions, 65-73 [Zbl 1040.68735] \textit{Fumera, Giorgio; Roli, Fabio}, Linear combiners for classifier fusion: Some theoretical and experimental results, 74-83 [Zbl 1040.68634] \textit{Aksela, Matti}, Comparison of classifier selection methods for improving committee performance, 84-93 [Zbl 1040.68574] \textit{Baykut, Alper; Erçil, Aytül}, Towards automated classifier combination for pattern recognition, 94-105 [Zbl 1040.68589] \textit{Kittler, Josef; Ahmadyfard, Ali; Windridge, David}, Serial multiple classifier systems exploiting a coarse to fine output coding, 106-114 [Zbl 1040.68664] \textit{Cutzu, Florin}, Polychotomous classification with pairwise classifiers: A new voting principle, 115-124 [Zbl 1040.68609] \textit{Duan, Kaibo; Keerthi, S. Sathiya; Chu, Wei; Shevade, Shirish Krishnaj; Poo, Aun Neow}, Multi-category classification by soft-max combination of binary classifiers, 125-134 [Zbl 1040.68617] \textit{Magee, Derek}, A sequential scheduling approach to combining multiple object classifiers using cross-entropy, 135-145 [Zbl 1040.68694] \textit{Ko, Jaepil; Byun, Hyeran}, Binary classifier fusion based on the basic decomposition methods, 146-155 [Zbl 1040.68666] \textit{Tapia, Elizabeth; González, José Carlos; García-Villalba, Javier}, Good error correcting output codes for adaptive multiclass learning, 156-165 [Zbl 1040.68760] \textit{Ayad, Hanan; Kamel, Mohamed}, Finding natural clusters using multi-clusterer combiner based on shared nearest neighbors, 166-175 [Zbl 1040.68586] \textit{Lewitt, Michael; Polikar, Robi}, An ensemble approach for data fusion with Learn++, 176-185 [Zbl 1040.68684] \textit{Windridge, David; Kittler, Josef}, The practical performance characteristics of tomographically filtered multiple classifier fusion, 186-195 [Zbl 1040.68776] \textit{Velek, Ondrej; Jaeger, Stefan; Nakagawa, Masaki}, Accumulated-recognition-rate normalization for combining multiple on/off-Line Japanese character classifiers tested on a large database, 196-205 [Zbl 1040.68767] \textit{Estruch, V.; Ferri, C.; Hernández-Orallo, J.; Ramírez-Quintana, M. J.}, Beam search extraction and forgetting strategies on shared ensembles, 206-216 [Zbl 1040.68624] \textit{Luttrell, S. P.}, A Markov chain approach to multiple classifier fusion, 217-226 [Zbl 1040.68690] \textit{Cohen, Shimon; Intrator, Nathan}, A study of ensemble of hybrid networks with strong regularization, 227-235 [Zbl 1040.68607] \textit{Ahmad, Khurshid; Casey, Matthew; Vrusias, Bogdan; Saragiotis, Panagiotis}, Combining multiple modes of information using unsupervised neural classifiers, 236-245 [Zbl 1040.68572] \textit{Santos, R. O. V.; Vellasco, M. M. B. R.; Artola, F. A. V.; da Fontoura, S. A. B.}, Neural net ensembles for lithology recognition, 246-255 [Zbl 1040.68739] \textit{Inoue, Hirotaka; Narihisa, Hiroyuki}, Improving performance of a multiple classifier system using self-generating neural networks, 256-265 [Zbl 1040.68655] \textit{Brown, Gavin; Wyatt, Jeremy}, Negative correlation learning and the ambiguity family of ensemble methods, 266-275 [Zbl 1040.68596] \textit{Windeatt, Terry; Ghaderi, R.; Ardeshir, G.}, Spectral coefficients and classifier correlation, 276-285 [Zbl 1040.68775] \textit{Christensen, Stefan W.}, Ensemble construction via designed output distortion, 286-295 [Zbl 1040.68601] \textit{Zouari, H.; Heutte, L.; Lecourtier, Y.; Alimi, A.}, Simulating classifier outputs for evaluating parallel combination methods, 296-305 [Zbl 1040.68784] \textit{Banfield, Robert E.; Hall, Lawrence O.; Bowyer, Kevin W.; Kegelmeyer, W. Philip}, A new ensemble diversity measure applied to thinning ensembles, 306-316 [Zbl 1040.68588] \textit{Verbaeten, Sofie; Van Assche, Anneleen}, Ensemble methods for noise elimination in classification problems, 317-325 [Zbl 1040.68768] \textit{Günter, Simon; Bunke, Horst}, New boosting algorithms for classification problems with large number of classes applied to a handwritten word recognition task, 326-335 [Zbl 1040.68642] \textit{Asdornwised, Widhyakorn; Jitapunkul, Somchai}, Automatic target recognition using multiple description coding models for multiple classifier systems, 336-345 [Zbl 1040.68583] \textit{Giacinto, Giorgio; Roli, Fabio; Didaci, Luca}, A modular multiple classifier system for the detection of intrusions in computer networks, 346-355 [Zbl 1040.68638] \textit{Sirlantzis, K.; Hoque, S.; Fairhurst, M. C.}, Input space transformations for multi-classifier systems based on \(n\)-tuple classifiers with application to handwriting recognition, 356-365 [Zbl 1040.68746] \textit{Jaser, Edward; Kittler, Josef; Christmas, William}, Building classifier ensembles for automatic sports classification, 366-374 [Zbl 1040.68656] \textit{Oza, Nikunj C.; Tumer, Kagan; Tumer, Irem Y.; Huff, Edward M.}, Classification of aircraft maneuvers for fault detection, 375-384 [Zbl 1040.68724] \textit{Alam, Hassan; Rahman, Fuad; Tarnikova, Yuliya}, Solving problems two at a time: Classification of web pages using a generic pair-wise multiple classifier system, 385-394 [Zbl 1040.68575] \textit{Wilczok, Elke; Lellmann, Wolfgang}, Design and evaluation of an adaptive combination framework for OCR result strings, 395-404 [Zbl 1040.68774]
scientific article; zbMATH DE number 2029952