Artificial neural networks and neural information processing --- ICANN/ICONIP 2003. Joint international conference ICANN/ICONIP 2003, Istanbul, Turkey, 26--29, 2003. Proceedings (Q1419519)

The articles of this volume will be reviewed individually. The preceding conference has been reviewed (see Zbl 1008.68683). Indexed articles: \textit{Serpen, Gürsel}, Adaptive Hopfield network, 3-10 [Zbl 1037.68711] \textit{Inoue, Hirotaka; Narihisa, Hiroyuki}, Effective pruning method for a multiple classifier system based on self-generating neural networks, 11-18 [Zbl 1037.68658] \textit{Henderson, James}, Structural bias in inducing representations for probabilistic natural language parsing, 19-26 [Zbl 1037.68651] \textit{Matsuyama, Yasuo; Katsumata, Naoto; Kawamura, Ryo}, Independent component analysis minimizing convex divergence, 27-34 [Zbl 1037.68683] \textit{Verikas, Antanas; Bacauskiene, Marija; Malmqvist, Kerstin}, Selecting salient features for classification committees, 35-42 [Zbl 1037.68727] \textit{Buchtala, Oliver; Hofmann, Alexander; Sick, Bernhard}, Fast and efficient training of RBF networks, 43-51 [Zbl 1037.68622] \textit{Liou, Cheng-Yuan; Sou, Un-Cheong}, Loading temporal associative memory using the neuronic equation, 52-59 [Zbl 1037.68676] \textit{Weng, Sebastian; Steil, Jochen J.}, Learning compatibility functions for feature binding and perceptual grouping, 60-67 [Zbl 1037.68732] \textit{Choi, Seungjin}, Differential ICA, 68-75 [Zbl 1037.68627] \textit{Barutçuoğlu, Zafer; Alpaydin, Ethem}, A comparison of model aggregation methods for regression, 76-83 [Zbl 1037.68616] \textit{Fontenla-Romero, Oscar; Erdogmus, Deniz; Principe, J. C.; Alonso-Betanzos, Amparo; Castillo, Enrique}, Linear least-squares based methods for neural networks learning, 84-91 [Zbl 1037.68636] \textit{Pfister, Jean-Pascal; Barber, David; Gerstner, Wulfram}, Optimal Hebbian learning: A probabilistic point of view, 92-98 [Zbl 1037.68707] \textit{Kamimura, Ryotaro}, Competitive learning by information maximization: Eliminating dead neurons in competitive learning, 99-106 [Zbl 1037.68662] \textit{Agakov, Felix V.; Barber, David}, Approximate learning in temporal hidden Hopfield models, 107-114 [Zbl 1037.68606] \textit{Huang, Kaizhu; King, Irwin; Lyu, Michael R.}, Finite mixture model of bounded semi-naive Bayesian networks classifier, 115-122 [Zbl 1037.68656] \textit{Yoshimoto, Junichiro; Ishii, Shin; Sato, Masa-aki}, System identification based on online variational Bayes method and its application to reinforcement learning, 123-131 [Zbl 1037.68735] \textit{Zhang, Kun; Chan, Lai-Wan}, Dimension reduction based on orthogonality -- A decorrelation method in ICA, 132-139 [Zbl 1037.68736] \textit{Juszczak, Piotr; Duin, Robert P. W.}, Selective sampling methods in one-class classification problems, 140-148 [Zbl 1037.68661] \textit{Paccanaro, Alberto}, Learning distributed representations of high-arity relational data with non-linear relational embedding, 149-156 [Zbl 1037.68703] \textit{Oohira, Takayuki; Yamauchi, Koichiro; Omori, Takashi}, Meta-learning for fast incremental learning, 157-164 [Zbl 1037.68701] \textit{Cheung, Yiu-ming}, Expectation-MiniMax approach to clustering analysis, 165-172 [Zbl 1037.68626] \textit{Micheli, Alessio; Sona, Diego; Sperduti, Alessandro}, Formal determination of context in contextual recursive cascade correlation networks, 173-180 [Zbl 1037.68687] \textit{Byorick, Jeffrey; Polikar, Robi}, Confidence estimation using the incremental learning algorithm, Learn++, 181-188 [Zbl 1037.68623] \textit{da Silva, Ivan Nunes}, Stability and convergence analysis of a neural model applied in nonlinear systems optimization, 189-197 [Zbl 1037.68697] \textit{Ikeda, Kazushi}, Generalization error analysis for polynomial kernel methods -- algebraic geometrical approach, 201-208 [Zbl 1037.68657] \textit{Matías, José M.; González-Manteiga, Wenceslao}, Regularized kriging: The support vectors method applied to kriging, 209-216 [Zbl 1037.68681] \textit{Muñoz, Alberto; Martín de Diego, Isaac; Moguerza, Javier M.}, Support vector machine classifiers for asymmetric proximities, 217-224 [Zbl 1037.68692] \textit{Uçar, Aysegül; Demir, Yakup; Güzelis, Cüneyt}, Fuzzy model identification using support vector clustering method, 225-233 [Zbl 1037.68725] \textit{Lorena, Ana Carolina; de Carvalho, André C. P. L. F.}, Human splice site identification with multiclass support vector machines and bagging, 234-241 [Zbl 1037.68678] \textit{Weiss, Olaf; Ziehe, Andreas; Herzel, Hanspeter}, Optimizing property codes in protein data reveals structural characteristics, 245-252 [Zbl 1037.68730] \textit{Ito, Yoshifusa; Srinivasan, Cidambi}, Multicategory Bayesian decision using a three-layer neural network, 253-261 [Zbl 1037.68659] \textit{Mavroudi, Seferina; Dragomir, Andrei; Papadimitriou, Stergios; Bezerianos, Anastasios}, Integrating supervised and unsupervised learning in self organizing maps for gene expression data analysis, 262-270 [Zbl 1037.68684] \textit{Oba, Shigeyuki; Sato, Masa-aki; Ishii, Shin}, Prior hyperparameters in Bayesian PCA, 271-279 [Zbl 1037.68699] \textit{Corchado, Emilio; Fyfe, Colin}, Relevance and kernel self-organising maps, 280-287 [Zbl 1037.68629] \textit{Sung, JaeMo; Bang, Sung-Yang}, Hierarchical Bayesian network for handwritten digit recognition, 291-298 [Zbl 1037.68715] \textit{Jain, Brijnesh J.; Wysotzki, Fritz}, A novel neural network approach to solve exact and inexact graph isomorphism problems, 299-306 [Zbl 1037.68660] \textit{Neumann, Peter; Sick, Bernhard; Arndt, Dirk; Gersten, Wendy}, Evolutionary optimisation of RBF network architectures in a direct marketing application, 307-315 [Zbl 1037.68695] \textit{Hofmann, Alexander; Schmitz, Carsten; Sick, Bernhard}, Intrusion detection in computer networks with neural and fuzzy classifiers, 316-324 [Zbl 1037.68655] \textit{Knoblauch, Andreas}, Optimal matrix compression yields storage capacity 1 for binary Willshaw associative memory, 325-332 [Zbl 1037.68668] \textit{de Ridder, Dick; Kouropteva, Olga; Okun, Oleg; Pietikäinen, Matti; Duin, Robert P. W.}, Supervised locally linear embedding, 333-341 [Zbl 1037.68738] \textit{Tax, David M. J.; Müller, Klaus-R.}, Feature extraction for one-class classification, 342-349 [Zbl 1037.68718] \textit{Lecoeuche, Stéphane; Lurette, Christophe}, Auto-adaptive and dynamical clustering neural network, 350-358 [Zbl 1037.68673] \textit{Grabczewski, Krzysztof; Jankowski, Norbert}, Transformations of symbolic data for continuous data oriented models, 359-366 [Zbl 1037.68644] \textit{Acciani, Giuseppe; Fornarelli, Girolamo; Liturri, Luciano}, Comparing fuzzy data sets by means of graph matching technique, 367-374 [Zbl 1037.68605] \textit{Cutzu, Florin}, How to do multi-way classification with two-way classifiers, 375-382 [Zbl 1037.68631] \textit{Wersing, Heiko; Eggert, Julian; Körner, Edgar}, Sparse coding with invariance constraints, 385-392 [Zbl 1037.68733] \textit{Fukushima, Kunihiko}, Restoring partly occluded patterns: A neural network model with backward paths, 393-400 [Zbl 1037.68638] \textit{Matsuda, Yoshitatsu; Yamaguchi, Kazunori}, The InfoMin criterion: An information theoretic unifying objective function for topographic mappings, 401-408 [Zbl 1037.68682] \textit{Morita, Satoru}, Short-term memory optical flow image, 409-416 [Zbl 1037.68691] \textit{Miravet, Carlos; Rodríguez, Francisco B.}, A hybrid MLP-PNN architecture for fast image superresolution, 417-424 [Zbl 1037.68689] \textit{Bax, Ingo; Bekel, Holger; Heidemann, Gunther}, Recognition of gestural object reference with auditory feedback, 425-432 [Zbl 1037.68617] \textit{Ozalevli, Erhan; Higgins, Charles M.}, Multi-chip implementation of a biomimetic VLSI vision sensor based on the Adelson-Bergen algorithm, 433-440 [Zbl 1037.68702] \textit{Le, Quan; Bengio, Samy}, Client dependent GMM-SVM models for speaker verification, 443-451 [Zbl 1037.68672] \textit{Deviren, Murat; Daoudi, Khalid}, Frequency and wavelet filtering for robust speech recognition, 452-460 [Zbl 1037.68633] \textit{Hoffmann, Heiko; Möller, Ralf}, Unsupervised learning of a kinematic arm model, 463-470 [Zbl 1037.68654] \textit{Yamamoto, Toru; Kurozumi, Ryota; Fujisawa, Shoichiro}, A design of CMAC based intelligent PID controllers, 471-478 [Zbl 1037.68734] \textit{Schoknecht, Ralf; Riedmiller, Martin}, Learning to control at multiple time scales, 479-487 [Zbl 1037.68710] \textit{Muthuraman, Sethuraman; Maxwell, Grant; MacLeod, Christopher}, The evolution of modular artificial neural networks for legged robot control, 488-495 [Zbl 1037.68693] \textit{te Boekhorst, Rene; Lungarella, Max; Pfeifer, Rolf}, Dimensionality reduction through sensory-motor coordination, 496-503 [Zbl 1037.68739] \textit{Chokshi, Kaustubh; Wermter, Stefan; Weber, Cornelius}, Learning localisation based on landmarks using self-organisation, 504-511 [Zbl 1037.68628] \textit{Long, Zhi-ying; Yao, Li; Zhao, Xiao-jie; Pei, Liu-qing; Xue, Gui; Dong, Qi; Peng, Dan-ling}, Spatial independent component analysis of multitask-related activation in fMRI data, 515-522 [Zbl 1037.68677] \textit{Aussem, Alex}, Closed loop stability of FIR-recurrent neural networks, 523-529 [Zbl 1037.68612] \textit{Sohn, Jun-Il; Lee, Minho}, Selective noise cancellation using independent component analysis, 530-537 [Zbl 1037.68713] \textit{Harrington, Edward}, Expert mixture methods for adaptive channel equalization, 538-545 [Zbl 1037.68649] \textit{Maeda, Michiharu}, A relaxation algorithm influenced by self-organizing maps, 546-553 [Zbl 1037.68679] \textit{Doğan, Hatice; Güzelis, Cüneyt}, A gradient network for vector quantization and its image compression applications, 554-561 [Zbl 1037.68634] \textit{Zoeter, Onno; Heskes, Tom}, Multi-scale switching linear dynamical systems, 562-569 [Zbl 1037.68737] \textit{Lendasse, Amaury; Wertz, Vincent; Verleysen, Michel}, Model selection with cross-validations and bootstraps -- application to time series prediction with RBFN models, 573-580 [Zbl 1037.68675] \textit{Pal, Srimanta; Das, Jyotirmay; Majumdar, Kausik}, A hybrid neural architecture and its application to temperature prediction, 581-588 [Zbl 1037.68704] \textit{Miazhynskaia, Tatiana; Dorffner, Georg; Dockner, Engelbert J.}, Risk management application of the recurrent mixture density network models, 589-596 [Zbl 1037.68686] \textit{Vidal, Carmen; Suárez, Alberto}, Hierarchical mixtures of autoregressive models for time-series modeling, 597-604 [Zbl 1037.68728] \textit{Wen, Dou; Yan, Jia; Zhong, Liu; Peng, Zou}, A simple constructing approach to build P2P global computing overlay network, 607-614 [Zbl 1037.68731] \textit{Lajbcygier, Paul}, Option pricing with the product constrained hybrid neural network, 615-621 [Zbl 1037.68671] \textit{Lehtimäki, Pasi; Raivio, Kimmo; Simula, Olli}, Self-organizing operator maps in complex system analysis, 622-629 [Zbl 1037.68674] \textit{Güneş, Filiz; Cengiz, Yavuz}, Optimization of a microwave amplifier using neural performance data sheets with genetic algorithms, 630-637 [Zbl 1037.68648] \textit{Tang, Tong Boon; Chen, Hsin; Murray, Alan F.}, Adaptive stochastic classifier for noisy pH-ISFET measurements, 638-645 [Zbl 1037.68716] \textit{Garfield, Sheila; Wermter, Stefan}, Comparing support vector machines, recurrent networks, and finite state transducers for classifying spoken utterances, 646-653 [Zbl 1037.68641] \textit{Prudêncio, Ricardo B. C.; Ludermir, Teresa B.}, Selecting and ranking time series models using the NOEMON approach, 654-661 [Zbl 1037.68708] \textit{Terzi, Serdal; Saltan, Mehmet; Yildirim, Tulay}, Optimization of the deflection basin by genetic algorithm and neural network approach, 662-669 [Zbl 1037.68720] \textit{Hernández-Espinosa, Carlos; Fernández-Redondo, Mercedes; Ortiz-Gómez, Mamen}, Inversion of a neural network via interval arithmetic for rule extraction, 670-677 [Zbl 1037.68652] \textit{Park, Sang-Jae; Ban, Sang-Woo; Shin, Jang-Kyoo; Lee, Minho}, Implementation of visual attention system using bottom-up saliency map model, 678-685 [Zbl 1037.68705] \textit{Chen, Y. H.; Tseng, C. L.; Fu, Hsin-Chia; Pao, H. T.}, A self-growing probabilistic decision-based neural network for anchor/speaker identification, 686-694 [Zbl 1037.68625] \textit{Albayrak, Songül}, Unsupervised clustering methods for medical data: An application to thyroid gland data, 695-701 [Zbl 1037.68607] \textit{Blekas, Konstantinos; Fotiadis, Dimitrios I.; Likas, Aristidis}, Protein sequence classification using probabilistic motifs and neural networks, 702-709 [Zbl 1037.68621] \textit{Becerikli, Yasar; Oysal, Yusuf; Konar, Ahmet Ferit}, On a dynamic wavelet network and its modeling application, 710-718 [Zbl 1037.68618] \textit{Cambio, Roberta; Hendry, David C.}, Low power digital neuron for SOM implementations, 721-728 [Zbl 1037.68624] \textit{Kawaguchi, Masashi; Kondo, Kazuyuki; Jimbo, Takashi; Umeno, Masayoshi}, Direction selective two-dimensional analog circuits using biomedical vision model, 729-736 [Zbl 1037.68665] \textit{Beiu, Valeriu; Avedillo, Maria J.; Quintana, Jose M.}, Review of capacitive threshold gate implementations, 737-744 [Zbl 1037.68620] \textit{Beiu, Valeriu}, Constructive threshold logic addition. A synopsis of the last decade, 745-752 [Zbl 1037.68619] \textit{Türel, Özgür; Likharev, Konstantin}, CrossNets: Neuromorphic networks for nanoelectronic implementation, 753-760 [Zbl 1037.68723] \textit{Greco, Alberto; Riga, Thomas; Cangelosi, Angelo}, The acquisition of new categories through grounded symbols: An extended connectionist model, 763-770 [Zbl 1037.68645] \textit{van der Voort van der Kleij, Gwendid T.; de Kamps, Marc; van der Velde, Frank}, A neural model of binding and capacity in visual working memory, 771-778 [Zbl 1037.68740] \textit{Kursin, Andrei}, Neural network: Input anticipation may lead to advanced adaptation properties, 779-785 [Zbl 1037.68670] \textit{Ohigashi, Yu; Omori, Takashi; Morikawa, Koji; Oka, Natsuki}, Acceleration of game learning with prediction-based reinforcement learning -- toward the emergence of planning behavior, 786-793 [Zbl 1037.68700] \textit{Humphries, Mark D.; Prescott, Tony J.; Gurney, Kevin N.}, The interaction of recurrent axon collateral networks in the basal ganglia, 797-804 [Zbl 1049.92501] \textit{Hafner, Verena Vanessa; Fend, Miriam; Lungarella, Max; Pfeifer, Rolf; König, Peter; Körding, Konrad Paul}, Optimal coding for naturally occurring whisker deflections, 805-812 [Zbl 1049.92500] \textit{Weber, Cornelius; Wermter, Stefan}, Object localisation using laterally connected ``what'' and ``where'' associator networks, 813-820 [Zbl 1049.91520] \textit{Hirose, Akira; Hamano, Toshihiko}, Influence of membrane warp on pulse propagation time, 821-829 [Zbl 1049.92513] \textit{Papliński, Andrew P.; Gustafsson, Lennart}, Detailed learning in narrow fields -- towards a neural network model of autism, 830-838 [Zbl 1049.92508] \textit{Mayor, Julien; Gerstner, Wulfram}, Online processing of multiple inputs in a sparsely-connected recurrent neural network, 839-845 [Zbl 1037.68685] \textit{Jolivet, Renaud; Lewis, Timothy J.; Gerstner, Wulfram}, The spike response model: A framework to predict neuronal spike trains, 846-853 [Zbl 1049.92009] \textit{Casile, Antonino; Giese, Martin}, Roles of motion and form in biological motion recognition, 854-862 [Zbl 1049.92006] \textit{Tsapatsoulis, Nicolas; Wallace, Manolis; Kasderidis, Stathis}, Improving the performance of resource allocation networks through hierarchical clustering of high-dimensional data, 867-874 [Zbl 1037.68722] \textit{Apolloni, B.; Brega, A.; Malchiodi, D.; Palmas, G.; Zanaboni, A. M.}, Learning rule representations from Boolean data, 875-882 [Zbl 1037.68609] \textit{Nürnberger, Andreas; Detyniecki, Marcin}, Weighted self-organizing maps: Incorporating user feedback, 883-890 [Zbl 1037.68698] \textit{Gallinari, Patrick; Bidel, Sylvain; Lemoine, Laurent; Piat, Frédéric; Artières, Thierry}, Classification and tracking of hypermedia navigation patterns, 891-900 [Zbl 1037.68639] \textit{Gelenbe, Erol; Núñez, Arturo}, Self-aware networks and quality of service, 901-908 [Zbl 1037.68642] \textit{Kasderidis, Stathis; Taylor, John G.; Tsapatsoulis, Nicolas; Malchiodi, Dario}, Drawing attention to the dangerous, 909-916 [Zbl 1037.68664] \textit{Martin, Trevor P.}, ASK -- acquisition of semantic knowledge, 917-924 [Zbl 1037.68680] \textit{Pertselakis, Minas; Frossyniotis, Dimitrios; Stafylopatis, Andreas}, An adaptable Gaussian neuro-fuzzy classifier, 925-932 [Zbl 1037.68706] \textit{Tzouvaras, Vassilis; Stamou, Giorgos; Kollias, Stefanos}, Knowledge refinement using fuzzy compositional neural networks, 933-940 [Zbl 1037.68724] \textit{Minami, Motoi; Hirose, Akira}, Phase singular points reduction by a layered complex-valued neural network in combination with constructive Fourier synthesis, 943-950 [Zbl 1037.68688] \textit{Kinjo, Mitsunaga; Sato, Shigeo; Nakajima, Koji}, Quantum adiabatic evolution algorithm for a quantum neural network, 951-958 [Zbl 1037.68667] \textit{Suksmono, Andriyan Bayu; Hirose, Akira}, Adaptive beamforming by using complex-valued multi layer perceptron, 959-966 [Zbl 1037.68714] \textit{Vaucher, Gilles}, A complex-valued spiking machine, 967-976 [Zbl 1037.68726] \textit{Nemoto, Iku}, The behavior of the network consisting of two complex-valued Nagumo-Sato neurons, 977-984 [Zbl 1037.68694] \textit{Kuroe, Yasuaki; Yoshida, Mitsuo; Mori, Takehiro}, On activation functions for complex-valued neural networks -- existence of energy functions, 985-992 [Zbl 1037.68669] \textit{Nitta, Tohru}, The computational power of complex-valued neuron, 993-1000 [Zbl 1037.68696] \textit{Gündüz, Şule; Özsu, M. Tamer}, Recommendation models for user accesses to web pages, 1003-1010 [Zbl 1037.68647] \textit{Karakahya, Hakan; Yazgan, Bingül; Ersoy, Okan K.}, A spectral-spatial classification algorithm for multispectral remote sensing data, 1011-1017 [Zbl 1037.68663] \textit{Tansel, Ibrahim N.; Singh, Reen Nripjeet; Chen, Peng; Kropas-Hughes, Claudia V.}, Neural network based material identification and part thickness estimation from two radiographic images, 1018-1025 [Zbl 1037.68717] \textit{Bao, W. Y.; Chen, P.; Tansel, I. N.; Reen, N. S.; Yang, S. Y.; Rincon, D.}, Selection of optimal cutting conditions by using the genetically optimized neural network system (GONNS), 1026-1032 [Zbl 1037.68615] \textit{Gueorguieva, Natacha; Valova, Iren}, Building RBF neural network topology through potential functions, 1033-1040 [Zbl 1037.68646] \textit{Bayrak, C.; Chen, Z.; Norton, J.; Preissl, H.; Lowery, C.; Eswaran, H.; Wilson, J. D.}, Use of magnetomyographic (MMG) signals to calculate the dependency properties of the active sensors in myometrial activity monitoring, 1041-1048 [Zbl 1049.92512] \textit{Daud, Taher; Zebulum, Ricardo; Duong, Tuan; Ferguson, Ian; Padgett, Curtis; Stoica, Adrian; Thakoor, Anil}, Speed enhancement with soft computing hardware, 1049-1056 [Zbl 1037.68632] \textit{Göksu, Hüseyin; Wunsch, Donald C. II}, Neural networks applied to electromagnetic compatibility (EMC) simulations, 1057-1063 [Zbl 1037.68643] \textit{Shakev, Nikola G.; Topalov, Andon V.; Kaynak, Okyay}, Sliding mode algorithm for online learning in analog multilayer feedforward neural networks, 1064-1072 [Zbl 1037.68712] \textit{Yang, Jack Y.; Yang, Mary Qu; Ersoy, Okan K.}, Exploring protein functional relationships using genomic information and data mining tech\-niques, 1073-1080 [Zbl 1049.92506] \textit{Bedingfield, Susan E.; Smith, Kate A.}, Predicting bad credit risk: An evolutionary approach, 1081-1088 [Zbl 1049.91510] \textit{Fischer, Amber D.; Dagli, Cihan H.}, Indirect differentiation of function for a network of biologically plausible neurons, 1089-1099 [Zbl 1037.68635] \textit{Gao, X. W.; Podladchikova, L.; Shaposhnikov, D.}, Application of vision models to traffic sign recognition, 1100-1105 [Zbl 1037.68640] \textit{Raouzaiou, Amaryllis; Ioannou, Spiros; Karpouzis, Kostas; Tsapatsoulis, Nicolas; Kollias, Stefanos; Cowie, Roddy}, An intelligent scheme for facial expression recognition, 1109-1116 [Zbl 1037.68709] \textit{Athanaselis, Theologos; Fotinea, Stavroula-Evita; Bakamidis, Stelios; Dologlou, Ioannis; Giannopoulos, Georgios}, Signal enhancement for continuous speech recognition, 1117-1124 [Zbl 1037.68611] \textit{Fotinea, Stavroula-Evita; Bakamidis, Stelios; Athanaselis, Theologos; Dologlou, Ioannis; Carayannis, George; Cowie, Roddy; Douglas-Cowie, E.; Fragopanagos, N.; Taylor, John G.}, Emotion in speech: Towards an integration of linguistic, paralinguistic, and psychological analysis, 1125-1132 [Zbl 1036.68532] \textit{Taylor, John G.; Fragopanagos, N.; Cowie, Roddy; Douglas-Cowie, E.; Fotinea, Stavroula-Evita; Kollias, Stefanos}, An emotional recognition architecture based on human brain structure, 1133-1140 [Zbl 1037.68719] \textit{Won, Hong-Hee; Cho, Sung-Bae}, Neural network ensemble with negatively correlated features for cancer classification, 1143-1150 [Zbl 1049.92511] \textit{Shi, S. Y. M.; Suganthan, P. N.}, Feature analysis and classification of protein secondary structure data, 1151-1158 [Zbl 1049.92505] \textit{Chung, I-Fang; Huang, Chuen-Der; Shen, Ya-Hsin; Lin, Chin-Teng}, Recognition of structure classification of protein folding by NN and SVM hierarchical learning architecture, 1159-1167 [Zbl 1049.92502] \textit{Huang, Chuen-Der; Chung, I-Fang; Pal, Nikhil Ranjan; Lin, Chin-Teng}, Machine learning for multi-class protein fold classification based on neural networks with feature gating, 1168-1175 [Zbl 1049.92503] \textit{Pal, Nikhil Ranjan; Chakraborty, Debrup}, Some new features for protein fold prediction, 1176-1183 [Zbl 1049.92504]