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24th International Conference on Artificial Neural Networks

ICANN 201415-19 September 2014

Hamburg, Germany

Organization

General Chair

Stefan Wermter Hamburg, Germany

Program Co-Chairs

Wlodzislaw Duch Torun, Poland, ENNS Past-President

Timo Honkela Helsinki, Finland

PetiaKoprinkova-Hristova Sofia,Bulgaria

Günther Palm Ulm, Germany

Alessandro E.P. Villa Lausanne, Switzerland, ENNS President

Cornelius Weber Hamburg, Germany

Local Organising Committee Chairs (Hamburg, Germany)

SvenMagg JohannesBauer

Jorge Dávila-Chacón Stefan Heinrich

Doreen Jirak Katja Kösters

Erik Strahl

PrefaceTheInternationalConferenceonArtificialNeuralNetworks(ICANN)istheannualflagshipconfer-ence of the European Neural Network Society (ENNS). Its wide scope in neural networks rang-es from machine learning algorithms to models of real nervous systems. ICANN aims at bring-ing together researchers from different research fields,suchascomputerscience,neuroscience,cognitive science and engineering. Further aims are to address new challenges, share solutions and discuss future research directions toward developing more intelligent artificial systemsand increasing our understanding of neural and cognitive processes in the brain.

The ICANN series of conferences was initi-ated in 1991 and soon became the major Euro-peanconferenceinitsfield,withexpertscomingfrom several continents. The 24th ICANN is held on 15-19 September 2014 at the University of Hamburg. The hosts are the University of Ham-burg and its Knowledge Technology Institute (http://www.informatik.uni-hamburg.de/WTM/).

The conference has attracted contributions from among the most internationally established researchers in the neural network communi-ty. The six keynote speakers in 2014 cover awide spectrum:ChristopherM. Bishop, expertinmachine learning;JunTani,expert in recur-rent neural networks; Paul F.M.J. Verschure, expert in autonomous systems; Yann LeCun,expertinneuralvision;BarbaraHammer,expertin computational intelligence; Kevin N. Gurney, expertincomputationalneuroscience.Wealsoacknowledge support from the Körber Founda-tion for a special session on ``Human-Machine Interaction’’.

A total of 173 papers was submitted to the ICANN 2014 conference. A large program com-mittee, including accepted authors from recent ICANN conferences, performed altogether 744 reviews, delivering an average of 4.3 reviews per paper. This helped to obtain a reliable eval-uation score for each paper, which was comput-ed by the Springer Online Conference Service by averaging the reviewers’ ratings and taking

intoaccountthereviewers’confidences.Paperswere sorted with respect to their scores and the 108 papers with highest score were accepted. Furthermore, the multiple professional reviews delivered valuable feedback to all authors.

The conference program features 24 ses-sions, which contain 3 talks each, and which are arranged in 2 parallel tracks. There are 2 post-er sessions with 33 posters and 2 live demon-strations of research results. Talks and posters are categorised into topical areas, providing the titles for the conference sessions and for the chapters in the Springer LNCS proceedings volume. Its chapters are ordered roughly in the chronological order of the conference sessions.

We would like to thank all the participants for their contribution to the conference program and to the proceedings. Many thanks go to the local organizers for their support and hospitality. Wealso express our sincere thanks to all ac-tive reviewers for their assistance in the review procedures and their valuable comments and recommendations.

July 2014

Stefan Wermter Cornelius Weber Wlodzislaw Duch

Timo Honkela Petia Koprinkova-Hristova

Sven Magg Günther Palm

Alessandro E.P. Villa

09:00

Opening SessionKeynote Paul Verschure

Coffee Break

Lunch Break

Registration

Welcome Reception ENNS Board Meeting led by Alessandro Villa

Posters and Demonstrations Posters

Keynote Christopher Bishop Keynote Jun Tani

Poster Spotlights 1 and Demonstrations Poster Spotlights 2

Recurrent Networks - ESNs

Recurrent Networks - Sequence Learning

Human Machine Interaction I

Human Machine Interaction II

Recurrent Networks -Theory Deep Networks

Clustering and Classification

Competitive Lerning and Self-Organisation

Theory - Optimisation

Theory - Layered Networks

Trees and Graphs Reinforcement Learning and Action

Coffee Break

10:00

11:00

11:30

12:30

14:00

15:00

16:00

16:20

17:00

18:00

19:00

Tue 16 Sept 2014 Wed 17 Sept 2014

Program Overview

Keynote Yann LeCun Keynote Kevin Gurney

Coffee Break

Lunch Break

Conference Dinner

Keynote Barbara Hammer

Vision - Detection and Recognition

Neuroscience - Line Attractors and

Neural Fields

Special Session on Human-Machine Interaction chaired by Doreen Jirak

Lecture Halls are in Building ESA1-West, Edmund-Siemers-Allee 1, Hamburg

Vision - Invariances and Shape Recovery

Neuroscience - Spiking and Single

Cell Models

Vision - Attention and Pose

Estimation

Events in Lecture Hall 221

Neuroscience - Cortical Models

Supervised Learning - Ensembles

Applications - Users and Social

Technologies

Supervised Learning - Regression

Applications - Technical Systems

Events in Lecture Hall 121

Dynamical Modelsand Time Series

Supervised Learning - Classification

Coffee Break

Thu 18 Sept 2014 Fri 19 Sept 2014

18:00-19:00Registration

Mon 15 Sep 2014

Program Overview

Closing Session

Detai led Program

Tue 16 Sept 2014 09:30-10:00Hall 221

Opening Session

Prof. Dr. Stefan WermterFull Professor in Computer Science Head of Knowledge Technology ICANN General Chair

Prof. Dr. Heinrich GraenerDean of the Faculty of Mathematics Informatics and Natural Sciences

Prof. Dr. Claudia S. LeopoldVice President of Universität Hamburg

Tue 16 Sept 2014 10:00 - 11:00Hall 221Chair: Timo Honkela

Recurrent Networks - Sequence LearningDynamicCortexMemory:EnhancingRecurrentNeural Networks for Gradient-based Sequence LearningSebastian Otte, Marcus Liwicki, Andreas Zell

LearningandRecognitionofMultiple FluctuatingTemporalPatternsUsingS-CTRNNShingo Murata, Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sugano

RegularizedRecurrentNeuralNetworksforDataEfficientDual-TaskLearningSigurd Spieckermann, Siegmund Düll, Steffen Udluft, Thomas Runkler

Hall 121Chair: Marina Resta

Competitive Learning and Self-OrganisationDiscriminative Fast Soft Competitive LearningFrank-Michael Schleif

HumanActionRecognitionwithHierarchicalGrowing Neural Gas LearningGerman Ignacio Parisi, Cornelius Weber, Stefan Wermter

Real-TimeAnomalyDetectionwithaGrowingNeural GasNicolai Waniek, Simon Bremer, Jorg Conradt

Tue 16 Sept 2014 11:30-12:30Hall 221Chair: Claudius Gros

Recurrent Networks - ESNs

On-line Training of ESN and IP Tuning EffectPetia Koprinkova-Hristova

An Incremental Approach to Language Acquisition:ThematicRoleAssignmentwithEcho State NetworksXavier Hinaut, Stefan Wermter

Memory Capacity of Input-driven Echo State Networks at the Edge of ChaosPeter Barancok, Igor Farkas

Hall 121Chair: Leslie Smith

Clustering and Classification

ANon-ParametricMaximumEntropyClusteringHideitsu Hino, Noboru Murata

Instance Selection using Two Phase Collabora-tiveNeighborRepresentationFadi Dornaika

Global Metric Learning by Gradient DescentJens Hocke, Thomas Martinetz

Tue 16 Sept 2014 14:00-15:00Hall 221Chair: Stefan Wermter

Keynote Christopher Bishop

Model-BasedMachineLearning

Tue 16 Sept 2014 15:00-16:00Hall 221Chair: Igor Farkaš

Recurrent Networks - Theory

InteractiveEvolvingRecurrentNeuralNetworksare Super-Turing UniversalJérémie Cabessa, Alessandro Villa

Attractor Metadynamics in Adapting Neural NetworksClaudius Gros, Mathias Linkerhand, Valentin Walther

BasicFeatureQuantitiesofDigitalSpikeMapsHiroki Yamaoka, Narutoshi Horimoto, Toshimichi Saito

Hall 121Chair: Simon O’Keefe

Trees and Graphs

An Algorithm for Directed Graph EstimationHideitsu Hino, Atsushi Noda, Masami Tatsuno, Shotaro Akaho, Noboru Murata

Merging Strategy for Local Model Networks based on the Lolimot AlgorithmTorsten Fischer, Oliver Nelles

Factor Graph Inference Engine on the SpiNNaker Neural Computing SystemIndar Sugiarto, Jorg Conradt

Tue 16 Sept 2014 16:20-18:00Hall 221 and FoyerChair: Cornelius Weber

Poster Session 1

AdaptiveCriticalReservoirswithPowerLawForgettingofUnexpectedInputSequencesNorbert Michael Mayer

ClassificationwithRejectOptionUsingtheSelf-OrganizingMapRicardo Sousa, Ajalmar Rocha Neto, Jaime Cardoso, Guilherme Barreto

LeavingLocalOptimainUnsupervisedKernelRegressionDaniel Lückehe, Oliver Kramer

High-DimensionalBinaryPatternClassificationbyScalarNeuralNetworkTreeVladimir Kryzhanovskiy, Magomed Malsagov, Juan Antonio Clares Tomas, Irina Zhelavskaya

OnImprovingtheClassificationCapabilityofReservoirComputingForArabicSpeechRecognitionAbdulrahman Alalshekmubarak, Leslie Smith

NeuralNetworkBasedDataFusionforHandPoseRecognitionwithMultipleToFSensorsAlexander Gepperth, Stefan Geisler, Uwe Handmann, Thomas Kopinski

SparseSingle-hiddenLayerFeedforwardNetworkforMappingNaturalLanguageQuestionstoSQLQueriesIssam Hadj Laradji, Lahouari Ghouti, Faisal Saleh, Musab AlTurki

TowardsContext-DependenceEyeMovementsPredictioninSmartMeetingRoomsRedwan Mohammed, Lars Schwabe, Oliver Staadt

Minimizing Computation in Convolutional Neural NetworksJingsheng Cong, Bingjun Xiao

One-shot Learning with Feedback for Multi-layered Convolutional NetworkKunihiko Fukushima

AGaussianProcessReinforcementLearningAlgorithmwithAdaptabilityandMinimalTuningRequirementsJonathan Strahl, Timo Honkela, Paul Wagner

Sensorimotor Control Learning using a New Adaptive Spiking Neuro-Fuzzy Machine, Spike-IDS and STDPMohsen Firouzi, Saeed Bagheri Shouraki, Jorg Conradt

Model-basedIdentificationofEEGMarkersforLearningOpportunitiesinanAssociativeLearningTask with Delayed FeedbackFelix Putze, Daniel Holt, Tanja Schultz, Joachim Funke

Financial Self-Organizing MapsMarina Resta

Tue 16 Sept 2014 16:20-18:00Hall 221 and FoyerChair: Cornelius Weber

Demonstrations

EntrepreneurshipSupportBasedonMixedBio-ArtificialNeuralNetworkSimulator(ESBBANN)Eugenio M. Fedriani, Manuel Chaves-Maza

LiveDemonstration:Real-TimeMotorRotationFrequencyDetectionbySpike-basedVisualandAuditorySensoryFusiononAERandFPGAAntonio Rios-Navarro, Angel Jimenez-Fernandez, Elena Cerezuela-Escudero, Manuel Rivas, Gabriel Jimenez-Moreno, Alejandro Linares-Barranco

Wed 17 Sept 2014 09:00-10:00Hall 221 Chair: Doreen Jirak

Keynote Paul F.M.J. Verschure

ABiologicallyGroundedArchitectureforaSocialRobot:DistributedAdaptiveControlandtheiCub

Wed 17 Sept 2014 10:00 - 11:00Hall 221Chair: Doreen Jirak

Human-Machine Interaction I

HumanActivityRecognitiononSmartphonesWithAwarenessofBasicActivitiesandPosturalTransitionsJorge Luis Reyes Ortiz, Luca Oneto, Alessandro Ghio, Albert Samà, Davide Anguita, Xavier Parra

sNN-LDS: Spatio-temporal Non-negative SparseCodingforHumanActionRecognitionThomas Guthier, Adrian Sosic, Volker Willert, Julian Eggert

Interactive Language Understanding with MultipleTimescaleRecurrentNeuralNetworksStefan Heinrich, Stefan Wermter

Hall 121Chair: Toshimichi Saito

Theory - Optimimisation

Row-actionProjectionsforNonnegativeMatrixFactorizationRafal Zdunek

Structure Perturbation Optimization for Hopfield-typeNeuralNetworksGang Yang, Xirong Li, JiePing XU, Qin Jin

Complex-valuedMultilayerPerceptronSearchUtilizingSingularRegionsofComplex-valuedParameter SpaceSeiya Satoh, Ryohei Nakano

Wed 17 Sept 2014 11:30-12:30Hall 221Chair: Doreen Jirak

Human-Machine Interaction II

AneuralDynamicArchitectureResolvesPhras-esaboutSpatialRelationsinVisualScenesMathis Richter, Jonas Lins, Sebastian Schneegans, Gregor Schöner

ChineseImageCharacterRecognitionUsingDNN and Machine Simulated Training SamplesJinfeng Bai, Zhineng Chen, Bailan Feng, Bo Xu

Polyphonic Music Generation by Modeling Tem-poralDependenciesUsingaRNN-DBNKratarth Goel, Raunaq Vohra, J. K. Sahoo

Hall 121Chair: Kunihiko Fukushima

Theory - Layered Networks

Mix-MatrixTransformationMethodforMax-CutProblemIakov Karandashev, Boris Kryzhanovsky

ComplexityofShallowNetworksRepresentingFunctions with Large VariationsVera Kurkova, Marcello Sanguineti

VisualizingHierarchicalRepresentationinAMultilayeredRestrictedRBFNetworkPitoyo Hartono, Paul Hollensen, Thomas Trappenberg

Wed 17 Sept 2014 14:00-15:00Hall 221Chair: Doreen Jirak

Keynote Jun Tani

Self-OrganizationandCompositionalityinCognitiveBrains:ANeuro-RoboticsStudy

Wed 17 Sept 2014 15:00-16:00Hall 221Chair: Vera Kurkova

Deep Networks

VariationalEMLearningofDSBNswith conditionalDeepBoltzmannMachinesXing Zhang, Siwei Lyu

Improving Deep Neural Network Performance byReusingFeaturesTrainedwithTransductiveTransferenceChetak Kandaswamy, Luis Silva, Luis Alexandre, Jorge Santos, Joaquim Marques de Sa

FromMaxouttoChannel-Out:Encoding Information on Sparse PathwaysQi Wang, Joseph JaJa

Hall 121Chair: Petia Koprinkova

Reinforcement Learning and Action

ContingentFeaturesforReinforcement LearningNathan Sprague

ANon-StationaryInfinitePartially-ObservableMarkov Decision ProcessSotirios Chatzis, Dimitrios Kosmopoulos

Tool-bodyAssimilationModelbasedonBodyBabblingandaNeuro-dynamicalSystemforMotion GenerationKuniyuki Takahashi, Tetsuya Ogata, Hadi Tjandra, Shingo Murata, Hiroaki Arie, Shigeki Sugano

Wed 17 Sept 2014 16:20-18:00Hall 221 and FoyerChair: Cornelius Weber

Poster Session 2

TowardsSparsityandSelectivity:BayesianLearningofRestrictedBoltzmannMachineforEarlyVisual FeaturesHanchen Xiong, Sandor Szedmak, Antonio Rodriguez-sanchez, Justus Piater

ImprovingtheConvergencePropertyofSoftCommitteeMachinesByReplacingDerivativewithTruncated Gaussian FunctionKazuyuki Hara, Kentaro Katahira

AGeometricalApproachforParameterSelectionofRadialBasisFunctionsNetworksLuiz Torres, Andre Lemos, Cristiano Castro, Antônio Braga

Sampling Hidden Parameters from Oracle DistributionSho Sonoda, Noboru Murata

IncrementalInputVariableSelectionbyBlockAdditionandBlockDeletionShigeo Abe

ImprovedAdalineNetworksforRobustPatternClassificationCésar Mattos, Jose Daniel Alencar Santos, Guilherme Barreto

Learning under Concept Drift with Support Vector MachinesOmar AYAD

Two subspace-based Kernel Local Discriminant EmbeddingFadi Dornaika, Alireza Bosagzadeh

Control of UPOs of Unknown Chaotic Systems via ANNAbdelkrim Boukabou

Event-based Visual Data Sets for Prediction Tasks in Spiking Neural NetworksTingting Gibson, Scott Heath, Robert P. Quinn, Alexia H. Lee, Joshua T. Arnold, Tharun S. Sonti, Andrew Whalley, George P. Shannon, Brian T. Song, James A. Henderson, Janet Wiles

Modeling of Chaotic Time Series by Interval Type-2 NEO-Fuzzy Neural NetworkYancho Todorov, Margarita Terziyska

Bio-mimeticPathIntegrationUsingaSelfOrganizingPopulationofGridCellsAnkur Sinha, Jack Jianguo Wang

Learning Spatial Transformations using Structured Gain-Field NetworksJan Kneissler, Martin Butz

Latency-basedProbabilisticInformationProcessinginRecurrentNeuralHierarchiesAlexander Gepperth, Mathieu Lefort

ClassifyingSpikePatternsbyReward-ModulatedSTDPBrian Gardner, Ioana Sporea, Andre Gruning

Lateral Inhibition Pyramidal Neural Network for Detection of Optical defocus (Zernike Z5)Bruno Fernandes, Diego Rativa

DevelopmentofaDynamicallyExtendableSpiNNakerChipComputingModuleRui Araújo, Nicolai Waniek, Jorg Conradt

TheImportanceofPhysiologicalNoiseRegressioninHighTemporalResolutionfMRINorman Scheel, Catie Chang, Amir Madany

Development of Automated Diagnostic System for skin Cancer: Performance Analysis of Neural NetworkLearningAlgorithmsforClassificationAmmara Masood, Adel Ali Al-Jumaily, Tariq Adnan

Thu 18 Sept 2014 09:00-10:00Hall 221Chair: Jörg Conradt

Keynote Yann LeCun

Title will follow soon

Thu 18 Sept 2014 10:00 - 11:00Hall 221Chair: Rolf Würtz

Vision - Detection and RecognitionStructured Prediction for Object Detection in Deep Neural NetworksHannes Schulz, Sven Behnke

A Multichannel Convolutional Neural Network forHandPostureRecognitionPablo Barros, Sven Magg, Cornelius Weber, Stefan Wermter

ATwo-stageClassifierArchitectureforDetectingObjectsunderReal-worldOcclusionPatternsMarvin Struwe, Stephan Hasler, Ute Bauer-Wersing

Hall 121Chair: Bruno Fernandes

Supervised Learning - EnsemblesDynamic Ensemble Selection and Instanta-neousPruningforRegressionusedinSignalCalibrationKaushala Dias, Terry Windeatt

GlobalandLocalRejectionOptioninMulti–clas-sificationTaskMarcin Luckner

Comparative Study of Accuracies on the Family oftheRecursive-RuleExtractionAlgorithmYoichi Hayashi, Yuki Tanaka, Shota Fujisawa, Tomoki Izawa

Thu 18 Sept 2014 11:30-12:30Hall 221Chair: Ute Bauer-Wersing

Vision - Invariances and Shape RecoveryOnlineLearningofInvariantObjectRecognitionin a Hierarchical Neural NetworkMarkus Leßmann, Rolf P. Würtz

Incorporating Scale Invariance into the Cellular Associative Neural NetworkNathan Burles, Simon O’Keefe, Jim Austin

Shape from Shading by Model Inclusive Learning with Simultaneously Estimating ReflectionParametersYasuaki Kuroe, Hajimu Kawakami

Hall 121Chair: Ryohei Nakano

Supervised Learning - Regression

FastSensitivity-BasedTrainingofBP-NetworksIveta Mrazova, Zuzana Petrickova

LearningAnisotropicRBFKernelsFabio Aiolli, Michele Donini

Empowering Imbalanced Data in Supervised Learning: A Semi-Supervised Learning ApproachBassam Almogahed, Ioannis Kakadiaris

Thu 18 Sept 2014 14:00-15:00Hall 221Chair: Shigeo Abe

Keynote Barbara Hammer

Metric Learning and Model Interpretability

Thu 18 Sept 2014 15:00-16:00Hall 221Chair: Thomas Martinetz

Vision - Attention and Pose EstimationInstance-basedObjectRecognitionwith Simultaneous Pose Estimation Using Keypoint Maps and Neural DynamicsOliver Lomp, Kasim Terzić, Christian Faubel, J. M. H. du Buf, Gregor Schöner

How Visual Attention and Suppression Facilitate ObjectRecognition?Frederik Beuth, Amirhossein Jamalian, Fred H. Hamker

Analysis of Neural Circuit for Visual Attention using Lognormally Distributed InputYoshihiro Nagano, Norifumi Watanabe, Atsushi Aoyama

Hall 121Chair: Norbert Michael Mayer

Dynamical Models and Time Series

Coupling Gaussian Process Dynamical Models withProduct-of-ExpertsKernelsDmytro Velychko, Dominik Endres, Nick Taubert, Martin Giese

ADeepDynamicBinaryNeuralNetworkandItsApplicationtoMatrixConvertersJungo Moriyasu, Toshimichi Saito

ImprovingHumanoidRobotSpeech RecognitionwithSoundSourceLocalisationJorge Dávila Chacón, Johannes Twiefel, Jindong Liu, Stefan Wermter

Thu 18 Sept 2014 16:20-17:30Hall 221Chair: Martin Giese

Neuroscience - Cortical Models

Excitation/inhibitionPatternsinaSystemofCoupled Cortical ColumnsDaniel Malagarriga, Alessandro E.P. Villa, Jordi García-Ojalvo, Antonio J. Pons

Self-generatedOff-lineMemoryReprocessingStrongly Improves Generalization in a Hierarchi-calRecurrentNeuralNetworkJenia Jitsev

Lateral Inhibition Pyramidal Neural Networks Designed by Particle Swarm OptimizationAlessandra Soares, Bruno Fernandes, Carmelo Bastos-Filho

Hall 121Chair: Alexander Gepperth

Supervised Learning - ClassificationA CFS-based Feature Weighting Approach to NaiveBayesTextClassifiersShasha Wang, Liangxiao Jiang, Chaoqun Li

LocalRejectionStrategiesforLearningVectorQuantizationLydia Fischer, Barbara Hammer, Heiko Wersing

EfficientAdaptationofStructureMetricsinPro-totype-basedClassificationBassam Mokbel, Benjamin Paassen, Barbara Hammer

Fri 19 Sept 2014 09:00-10:00Hall 221Chair: Yulia Sandamirskaya

Keynote Kevin N. Gurney

Decidingwhattodonext:ModelsofActionSelectionintheBasalGangliaatMultipleLevelsofDescription

Fri 19 Sept 2014 10:00 - 11:00Hall 221Chair: André Grüning

Neuroscience - Line Attractors and Neural FieldsFlexibleCueIntegrationbyLineAttractionDynamics and Divisive NormalizationMohsen Firouzi, Stefan Glasauer, Jorg Conradt

Learning to Look: a Dynamic Neural Fields Architecture for Gaze Shift GenerationChristian Bell, Tobias Storck, Yulia Sandamirskaya

Skeleton Model for the Neurodynamics of Visual ActionRepresentationsMartin Giese

Hall 121Chair: Stefanos Kollias

Applications - Users and Social TechnologiesQuantifyingtheEffectofMeaningVariationinSurvey AnalysisHenri Sintonen, Juha Raitio, Timo Honkela

Discovery of Spatio-Temporal Patterns from Foursquare by Diffusion-type Estimation and ICAYoshitatsu Matsuda, Kazunori Yamaguchi, Ken-ichiro Nishioka

Content-BoostedRestrictedBoltzmannMachineforRecommendationYongqi Liu, Qiuli Tong, Zhao Du, Lantao Hu

Fri 19 Sept 2014 11:30-12:30Hall 221Chair: Alessandro Villa

Neuroscience - Spiking and Single Cell ModelsFactorsInfluencingPolychronousGroupSus-tainability as a Model of Working MemoryPanagiotis Ioannou, Matthew Casey, Andre Gruning

Pre-andPostsynapticPropertiesRegulateSynaptic Competition through Spike-Timing-De-pendent PlasticityHana Ito, Katsunori Kitano

Location-dependent Dendritic Computation in a Modeled Striatal Projection NeuronYouwei Zheng, Lars Schwabe, Joshua Plotkin

Hall 121Chair: Janet Wiles

Applications - Technical Systems

RatSLAMonHumanoids-ABio-inspiredSLAMModelAdaptedtoaHumanoidRobotStefan Müller, Cornelius Weber, Stefan Wermter

Precise Wind Power Prediction with SVM En-sembleRegressionJustin Heinermann, Oliver Kramer

Neural Network Approaches to Solution of the InverseProblemofIdentificationandDeter-mination of Partial Concentrations of Salts in Multi-component Water SolutionsSergey Dolenko, Sergey Burikov, Tatiana Dolenko, Alexander Efitorov, Kirill Gushchin, Igor Persiantsev

Fri 19 Sept 2014 12:30-13:00Hall 221Chair: Stefan Wermter

Closing Session

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