Topic I.2.6 - Learning

	A. Abraham, C. Grosan: Automatic Programming Methodologies for Electronic Hardware Fault Monitoring /jucs_12_4/automatic_programming_methodologies_for	page 408 - 431 Vol.12 / Issue 4
	A. Almonayyes: Multiple Explanations Driven Naïve Bayes Classifier /jucs_12_2/multiple_explanations_driven_naive	page 127 - 139 Vol.12 / Issue 2
	R. Amornchewin, W. Kreesuradej: Mining Dynamic Databases using Probability-Based Incremental Association Rule Discovery Algorithm /jucs_15_12/mining_dynamic_databases_using	page 2409 - 2428 Vol.15 / Issue 12
	D. Apostolou, G. Mentzas, K. Baraboutis, S. Papadopoulou: Facilitating Knowledge Exchange and Decision Making within Learning Networks /jucs_10_3/facilitating_knowledge_exchange_and	page 205 - 226 Vol.10 / Issue 3
	R. Arora, M.S. Hsiao: Using Global Structural Relationships of Signals to Accelerate SAT-based Combinational Equivalence Checking /jucs_10_12/using_global_structural_relationships	page 1597 - 1628 Vol.10 / Issue 12
	M. Atzmueller, F. Puppe: Semi-Automatic Visual Subgroup Mining using VIKAMINE /jucs_11_11/semi_automatic_visual_subgroup	page 1752 - 1765 Vol.11 / Issue 11
	J. Aßfalg, J. Gong, H.-P. Kriegel, A. Pryakhin, T. Wei, A. Zimek: Investigating a Correlation between Subcellular Localization and Fold of Proteins /jucs_16_5/investigating_a_correlation_between	page 604 - 621 Vol.16 / Issue 5
	D. Barth, L. Echabbi, C. Hamlaoui: Optimal Transit Price Negotiation: The Distributed Learning Perspective /jucs_14_5/optimal_transit_price_negotiation	page 745 - 765 Vol.14 / Issue 5
	C. Biemann, U. Quasthoff, K. Böhm, C. Wolff: Automatic Discovery and Aggregation of Compound Names for the Use in Knowledge Representations /jucs_9_6/automatic_discovery_and_aggregation	page 530 - 541 Vol.9 / Issue 6
	L. Blanco, V. Crescenzi, P. Merialdo: Structure and Semantics of Data-IntensiveWeb Pages: An Experimental Study on their Relationships /jucs_14_11/structure_and_semantics_of	page 1877 - 1892 Vol.14 / Issue 11
	B. Blankertz, G. Dornhege, S. Lemm, M. Krauledat, G. Curio, K.-R. Müller: The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States /jucs_12_6/the_berlin_brain_computer	page 581 - 607 Vol.12 / Issue 6
	J. Brank, D. Mladenić, M. Grobelnik, N. Milić-Frayling: Feature Selection for the Classification of Large Document Collections /jucs_14_10/feature_selection_for_the	page 1562 - 1596 Vol.14 / Issue 10
	J. Bravo, R. Hervás, G. Chavira: Ubiquitous Computing in the Classroom: An Approach through Identification Process /jucs_11_9/ubiquitous_computing_in_the	page 1494 - 1504 Vol.11 / Issue 9
	L. Cao, Y. Ou: Market Microstructure Patterns Powering Trading and Surveillance Agents /jucs_14_14/market_microstructure_patterns_powering	page 2288 - 2308 Vol.14 / Issue 14
	Y.-C. Chen, J.-S. Wang: A Hammerstein-Wiener Recurrent Neural Network with Frequency-Domain Eigensystem Realization Algorithm for Unknown System Identification /jucs_15_13/a_hammerstein_wiener_recurrent	page 2547 - 2565 Vol.15 / Issue 13
	Y. Chen, F. Liu, B. Vanschoenwinkel, B. Manderick: Splice Site Prediction using Support Vector Machines with Context-Sensitive Kernel Functions /jucs_15_13/splice_site_prediction_using	page 2528 - 2546 Vol.15 / Issue 13
	S. Chickerur, A.K. M: Color Image Restoration Using Neural Network Model /jucs_17_1/color_image_restoration_using	page 107 - 125 Vol.17 / Issue 1
	M.E. Cintra, H.A. Camargo, E.R. Hruschka, M. do Carmo Nicoletti: Automatic Construction of Fuzzy Rule Bases: a further Investigation into two Alternative Inductive Approaches /jucs_14_15/automatic_construction_of_fuzzy	page 2456 - 2470 Vol.14 / Issue 15
	D.J. Cook: Health Monitoring and Assistance to Support Aging in Place /jucs_12_1/health_monitoring_and_assistance	page 15 - 29 Vol.12 / Issue 1
	D. Dudek: The APS Framework For Incremental Learning of Software Agents /jucs_14_14/the_aps_framework_for	page 2263 - 2287 Vol.14 / Issue 14
	F.J. Ferrer-Troyano, J.S. Aguilar-Ruiz, J.C. Riquelme: Incremental Rule Learning and Border Examples Selection from Numerical Data Streams /jucs_11_8/incremental_rule_learning_and	page 1426 - 1439 Vol.11 / Issue 8
	S. Fontani: Efficient Identification of Classes of P-Time Functions /jucs_6_8/efficient_identification_of_classes	page 759 - 780 Vol.6 / Issue 8
	S. Fontani: Efficient Measure Learning /jucs_7_9/efficient_measure_learning	page 794 - 815 Vol.7 / Issue 9
	T. Forzi, M. Peters: A Methodology and a Toolkit that Integrate Technological, Organisational, and Human Factors to Design KM within Knowledge-Intensive Networks /jucs_11_4/a_methodology_and_a	page 495 - 525 Vol.11 / Issue 4
	J. Gama, P. Medas: Learning Decision Trees from Dynamic Data Streams /jucs_11_8/learning_decision_trees_from	page 1353 - 1366 Vol.11 / Issue 8
	J.P. García-Vázquez, M.D. Rodríguez, M.E. Tentori, D. Saldaña, Á.G. Andrade, A.N. Espinoza: An Agent-based Architecture for Developing Activity-Aware Systems for Assisting Elderly /jucs_16_12/an_agent_based_architecture	page 1500 - 1520 Vol.16 / Issue 12
	N. Gronau, C. Müller, R. Korf: KMDL - Capturing, Analysing and Improving Knowledge-Intensive Business Processes /jucs_11_4/kmdl_capturing_analysing_and	page 452 - 472 Vol.11 / Issue 4
	Y. Gómez, R. Bello, A. Puris, M.M. García, A. Nowe: Two Step Swarm Intelligence to Solve the Feature Selection Problem /jucs_14_15/two_step_swarm_intelligence	page 2582 - 2596 Vol.14 / Issue 15
	K. Hori, K. Nakakoji, Y. Yamamoto, J. Ostwald: Organic Perspectives of Knowledge Management: Knowledge Evolution through a Cycle of Knowledge Liquidization and Crystallization /jucs_10_3/organic_perspectives_of_knowledge	page 252 - 261 Vol.10 / Issue 3
	M. Juršič, I. Mozetič, T. Erjavec, N. Lavrač: LemmaGen: Multilingual Lemmatisation with Induced Ripple-Down Rules /jucs_16_9/lemma_gen_multilingual_lemmatisation	page 1190 - 1214 Vol.16 / Issue 9
	N. Kulathuramaiyer, W.-T. Balke: Restricting the View and Connecting the Dots — Dangers of a Web Search Engine Monopoly /jucs_12_12/restricting_the_view_and	page 1731 - 1740 Vol.12 / Issue 12
	S.M. Lee, D.S. Kim, J.S. Park: Cost-Sensitive Spam Detection Using Parameters Optimization and Feature Selection /jucs_17_6/cost_sensitive_spam_detection	page 944 - 960 Vol.17 / Issue 6
	L. Li, V. Bulitko, R. Greiner: Focus of Attention in Reinforcement Learning /jucs_13_9/focus_of_attention_in	page 1246 - 1269 Vol.13 / Issue 9
	S.-W. Liou, C.-M. Wang, Y.-F. Huang: Integrative Discovery of Multifaceted Sequence Patterns by Frame-Relayed Search and Hybrid PSO-ANN /jucs_15_4/integrative_discovery_of_multifaceted	page 742 - 764 Vol.15 / Issue 4
	K. Moriyama, M. Matsumoto, K.-i. Fukui, S. Kurihara, M. Numao: Reinforcement Learning on a Futures Market Simulator /jucs_14_7/reinforcement_learning_on_a	page 1136 - 1153 Vol.14 / Issue 7
	M. Pivec, K. Baumann: The Role of Adaptation and Personalisation in Classroom-Based Learning and in e-Learning /jucs_10_1/the_role_of_adaptation	page 73 - 89 Vol.10 / Issue 1
	L. Prechelt: Why We Need an Explicit Forum for Negative Results /jucs_3_9/why_we_need_an	page 1074 - 1083 Vol.3 / Issue 9
	K. Reinhardt, K. North: Transparency and Transfer of Individual Competencies - A Concept of Integrative Competence Management /jucs_9_12/transparency_and_transfer_of	page 1372 - 1380 Vol.9 / Issue 12
	J.L. Garcia Rosa, J.M. Adan-Coello: Biologically Plausible Connectionist Prediction of Natural Language Thematic Relations /jucs_16_21/biologically_plausible_connectionist_prediction	page 3245 - 3277 Vol.16 / Issue 21
	C. Sanin, E. Szczerbicki, C. Toro: An OWL Ontology of Set of Experience Knowledge Structure /jucs_13_2/an_owl_ontology_of	page 209 - 223 Vol.13 / Issue 2
	E. Suzuki: Data Mining Methods for Discovering Interesting Exceptions from an Unsupervised Table /jucs_12_6/data_mining_methods_for	page 627 - 653 Vol.12 / Issue 6
	J.A. Troyano, F. Enríquez, F. Cruz, J.M. Cañete-Valdeón, F.J. Ortega: Improving the Performance of a Tagger Generator in an Information Extraction Application /jucs_13_9/improving_the_performance_of	page 1287 - 1299 Vol.13 / Issue 9
	C. Vialardi, J. Bravo, A. Ortigosa: Improving AEH Courses through Log Analysis /jucs_14_17/improving_aeh_courses_through	page 2777 - 2798 Vol.14 / Issue 17
	J.-S. Wang, J.-C. Chiang: An Efficient Data Preprocessing Procedure for Support Vector Clustering /jucs_15_4/an_efficient_data_preprocessing	page 705 - 721 Vol.15 / Issue 4
	Y. Xiang, S. Zhang, Y. Shen, M. Shi: Pattern-Oriented Workflow Generation and Optimization /jucs_15_9/pattern_oriented_workflow_generation	page 1924 - 1944 Vol.15 / Issue 9
	N. Xiong, J. He, J.H. Park, D. Cooley, Y. Li: A Neural Network Based Vehicle Classification System for Pervasive Smart Road Security /jucs_15_5/a_neural_network_based	page 1119 - 1142 Vol.15 / Issue 5
	T. Zeng, C. Tang, Y. Xiang, P. Chen, Y. Liu: A Model of Immune Gene Expression Programming for Rule Mining /jucs_13_10/a_model_of_immune	page 1484 - 1497 Vol.13 / Issue 10