and abstract book in pdf for more information.

and abstract book in pdf for more information.

SNN / Technologiestichting STW
| Programma- en abstract boek
Lerende Oplossingen
22 oktober, 2003
Auditorium Radboud Universiteit Nijmegen
2003
symposium Lerende Oplossingen op 22 oktober 2003 in Nijmegen zijn gepresenteerd.
Organisatoren
+31 (0)24 354 14 35
Dr. H.J. Kappen | Radboud Universiteit Nijmegen/SNN
Dr.ir. R.P.W. Duin | Technische Universiteit Delft
Dr.ir. B.J.A. Kröse | Universiteit van Amsterdam
Dr. W. Segeth | Technologiestichting STW
A. Wanders | SNN
Plaats Congres
Auditorium en Kasteel Heyendael | Radboud Universiteit Nijmegen
| Geert Grooteplein 15 | Postbus 364 | 6500 AJ Nijmegen |
tel portier +31 24 3610 112 | mobiel SNN 06 2052 6691
| fax
52 6691
Dit boek is een bundeling van abstracts van de posters welke tijdens het ééndags
Contactadres
SNN | t.a.v. A. Wanders | Postbus 9101 | 6500 HB Nijmegen |
| tel +31 24 361 42 45 | fax +31 24 354 14 35 | e-mail [email protected] |
website www.snn.kun.nl/nederland/learning
Dit symposium wordt gesteund door
Technologiestichting STW | Dr. W. Segeth | [email protected]
SNN | Dr. H.J. Kappen | [email protected]
Lerende Oplossingen 2003
Bayesiaanse methodes in theorie en praktijk
Welkom op het symposium Lerende Oplossingen. Dit is de derde maal dat wij
dit symposium organiseren, de twee voorafgaande keren waren in 2000 en in
2002. Het doel van het symposium is om op het onderzoeksgebied dat we
aanduiden met Adaptieve Intelligentie een actueel overzicht te geven van de
stand van de techniek met een speciale aandacht voor de toepasbaarheid in de
praktijk. Het symposium beoogt een ontmoetingsplaats te zijn tussen
onderzoekers en toepassers.
Wat is Adaptieve Intelligentie en hoe verhoudt het zich tot neurale netwerken?
De SNN is oorspronkelijk opgezet met als doel het stimuleren van onderzoek op
het gebied van neurale netwerken. Echter, in de laatste 10 jaar is het vakgebied
sterk verbreed. Zo is het nu mogelijk om lerende methodes te combineren met
regelgebaseerde methodes en is de robuustheid van de oplossingen sterk
verbeterd door gebruik te maken van statistische technieken. Het formalisme
van de Bayesiaanse statistiek heeft een belangrijke bijdrage geleverd aan de
integratie van deze drie traditioneel sterk verschillende vakgebieden. Lerende
methodes zoals neurale netwerken zijn in het algemeen dus slechts een deel van
een totaal oplossing en met Adaptieve Intelligentie bedoelen we dit bredere
gebied.
In 1995 is de Technologiestichting STW - in nauwe samenwerking met de
Stichting Neurale Netwerken, SNN begonnen met de uitvoering van het
onderzoeksprogramma Neurale Netwerken/Adaptieve Intelligentie. De eerste
drie oproepen voor onderzoeksvoorstellen (in 1995, 1997 en 1999) resulteerden
elk in een vijftal gehonoreerde projecten. De vierde oproep is in 2002 uitgegaan
en tegen het eind van 2003 zal bekend worden welke projecten gehonoreerd
worden.
Tijdens de middag zal een overzicht gegeven worden van lopende en recent
afgeronde STW-SNN projecten. Daarnaast zal ook overig onderzoek worden
gepresenteerd zodat een vrijwel volledig overzicht ontstaat van het Nederlandse
onderzoek op dit gebied. Tevens zijn we erg verheugd, dat we Philips Research
en Microsoft Research bereid hebben gevonden om een overzicht geven van
hun activiteiten op dit gebied.
In de ochtend zijn er twee parallelle tracks. Er is een industriële track waar drie
bedrijven hun lerende oplossingen zullen presenteren. Voor de meer theoretisch
geïnteresseerden is er een tutorial van Micheal Kearns over speltheorie. Deze
tutorial is tevens onderdeel van de Belgisch Nederlandse AI Conferentie
(BNAIC 2003) die op 23 en 24 oktober in Nijmegen wordt gehouden.
Wij wensen u een leerzame dag toe.
Bert Kappen
Wouter Segeth
Programma Lerende Oplossingen 2003
09:30 Registratie en koffie in AUDITORIUM
OCHTEND A
10:00 Opening, Dr. H.J. Kappen, KU Nijmegen
10.15-12.15 Adaptive Intelligence in practice
10.15 New Concepts in Knowledge Management
Ivo de Blinde en Edgar van Oostrum, Knowlutions, SPSS
Are you ready to know More!
In these challenging times the traditional indicators time, quality and cost are no longer sufficient to assess the
performance of companies. Flexibility, adaptation and learning capabilities play a vital role in business
processes. This is why successful companies regard knowledge management as one of the key success factors
in the implementation of new business strategies. Proper management of the knowledge base for value
creation can provide a window of opportunity for the improvement of your companies R&D and problem
solving capabilities. Knowlution BV and SPSS Inc. have combined unmatched technologies in a new
approach to capture, manage and support knowledge distribution, application and creation.
10.50 Predicting Consumer behavior
Tom Heskes, SMART Research B.V.
In this presentation, I will focus on a specific forecasting problem: predicting the sales of newspapers. The
most intriguing aspect is that one has to generate predictions for a huge number of similar time series on a
daily basis. I will illustrate how we exploit these similarities to have the different outlets "learn from each
other". Studies for several European publishers reveal consistent and very significant performance
improvements.
11.25-11.40 Koffie
11.40 Predicting tourist travel behavior
Christoph Engels, Thinking Networks Germany
Planning and prediction of tourist travel behavior The tour operator business has changed dramatically over
the last dekade. While in the early ninties it was characterized as a seller market it had changed to a buyer
market. Tour operators have tried to face this development by introducing sophisticated planning and
predition systems to support the concept of revenue management. During the last six years Thinking
Networks has implemented the first revenue management system for tour operators worldwide at world
largest tour operator TUI. The talk will describe the different prediction tasks and our approaches for strategic
marketing planning, demand prediction for planning and short-term prediction for last minute and discount
offers. The used methods include neural networks and hard modelling for prediction and text mining tasks.
OCHTEND B
10.15-12.15 Tutorial Computational Game Theory
11.15 tot 11.30 Koffiepauze
Prof. M. Kearns, University of Pennsylvania
Recently there has been renewed interest in game theory in several research disciplines, with its uses ranging
from the modeling of evolution to the design of distributed protocols. In the AI community, game theory is
emerging as the dominant formalism for studying strategic and cooperative interaction in multi-agent
systems. Classical work provides rich mathematical foundations and equilibrium concepts, but relatively little
in the way of computational and representational insights that would allow game theory to scale up to large,
complex systems. The rapidly emerging field of computational game theory is addressing such algorithmic
issues, and this tutorial will provide a survey of developments so far. The tutorial will be self-contained,
assuming no prior knowledge of game theory.
MIDDAGPROGRAMMA in AUDITORIUM
12:15 Lunch
13:30 Statistical media processing at microsoft research
Prof. J. Platt, Microsoft Research in Redmond
Statistical Media Processing is the intersection between media (such as image, video, music, speech) and
machine learning (statistical algorithms). Our research in this area has produced practical technology that can
improve products. For example, we have created a clustering algorithm for automatically organizing digital
photos; an algorithm to learn similarities between songs, to automatically generate music playlists; and an
algorithm to automatically extract noise-robust features from audio, to identify music files or streams.
14:15 Overview Adaptive Intelligence in The Netherlands
Dr. H.J. Kappen, KU Nijmegen
14:45 Postersessie
16:00 Algorithms in Ambient Intelligence
Emile Aarts,Philips Research and Eindhoven University of Technology
In the near future our homes will have a distributed network of intelligent devices that provides us with
information, communication, and entertainment. Furthermore, these systems will adapt themselves to the user
and even anticipate on user needs. These consumer systems will differ substantially from contemporary
equipment through their appearance in peoples’ environments, and through the way users interact with them.
Ambient Intelligence is the term that is used to denote this new paradigm for in-home computing and
entertainment. Salient features of this new concept are ubiquitous computing, and natural interaction. Recent
developments in technology, the Internet, the consumer electronics market, and social developments indicate
that this dream might become reality soon. First prototypes of ambient intelligent home systems have been
developed, but the realization of true ambient intelligence calls for much additional research of
multidisciplinary teams consisting of technologists, designers, and human behavior scientists. Algorithms
play a central role in the development of ambient intelligence. Key features such as quality of service, load
balancing, context awareness, personalization, adaptation, and anticipatory behavior can be realized through
sophisticated on-line algorithms that run in real-time. The presentation will outline the current status of the
development of algorithms for ambient intelligence.
16:40 Postersessie en receptie
18.00 Sluiting
Index
STW Projecten
Page
Poster/
Demo
I
Posterpresentaties
|
Application of Cluster Variation method to Genetic Linkage Analysis
Kees Albers, Bert Kappen
|
A Virtual Mobile Robot Left Ventricle Wall Delineation in
Cardiac MR Images
F. Behloul, B.P.F. Lelieveldt, R.J. van der Geest, J.H.C. Reiber
1
P15
2
P9
|
A Dynamic Bayesian Network for Polyphonic Music Transcription
Ali Taylan Cemgil, Bert Kappen
3
P8
|
Perceptual Grouping
Remco Duits
5
P21
|
Computer-Aided Detection of Breast Cancer in Mammograms
S. van Engeland, S.Timp, C. Varela, N. Karssemeijer,
C.C.A.M. Gielen
7
P17
|
Learning Concepts in Real World Embodied Agents
Stephan ten Hagen, Bram Bakker, Ben Kröse
8
P3
|
Online Auction Bidding Strategies for Logistics
P.J. 't Hoen, J.A. La Poutré
A Simple Multi-Agent System for Evaluating Strategies
Th. M. Hupkens
10
P7
11
P13
|
|
A Symbolic Approach to Music Recognition
Nico Jacobs, Filip Van den Borre, Lennert Smeets,
Evarest Schoofs, Hendrik Blockeel
12
D5
|
Preprocessing Documents to Answer Dutch Questions
Valentin Jijkoun, Gilad Mishne, Maarten de Rijke
13
P22
|
ProAnita: A Multi-Agent Solution for Legitimate Information Retrieval
Femke de Jonge, Nico Roos, Pieter Spronck, Steven de Jong
14
D6
|
Sample Complexity for One-Class Classifiers
Piotr Juszczak, Robert P.R.Duin
15
P25
|
Robust Active Fault-Tolerant Control
Stoyan Kanev, Michel Verhaegen, Alexander Efremov
16
P11
|
Promedas: A Diagnostic Decision Support System
Bert Kappen, Wim Wiegerinck, Ender Akay, Marcel Nijman,
Jan Neijt, André van Beek
17
D1
|
Icon Based Communication in an International Environment
P.A. Kersseboom, Ir. B.Bruggeman, Dr. L. Rothkrantz
19
P12
|
Muli-Robot Decision Making Using Coordination Graphs
J.R. Kok, M.T.J Spaan, N. Vlassis
21
P2
|
Probabilistic Methods for Localizing Lino, the User-Interface Robot
B.J.A. Kröse, J.M. Porta
23
P6
|
Searching Maps by CNNs on an FPGA
Suleyman Malki, Lambert Spaanenburg
25
P19
|
Multi-View Active Appearance Models:
Application to X-ray LV Angiography and Cardiac MRI
C.R Oost, M. Üzümcü, D. Kaandorp, J.H.C. Reiber, M. Sonka,
B.P.F. Lelieveldt
26
P10
|
Sales Forecasting Through Aggregation: Integrating
Neural-Bayesian and Knowledge Based Methods
Pim Ouwehand
28
P16
|
Speeding up the Classification of Hyper-Spectral Data Using the
Dissimilarity Representation
Pavel Paclik, Robert P.W. Duin, Serguei Verzakov
29
P26
|
On (not) Making Dissimilarities Euclidean
Elzbieta Pekalska, Robert P.W. Duin
31
P22
|
Robust Manifold Learning
Dick de Ridder, Robert P.W. Duin, Vojtech Franc
32
P23
|
Combining Autofluorescence and Diffuse Reflectance
Spectroscopy for Improving Lesion Diagnostics in Lungs
M. Skurichina, A. Amelink, M. Bard, H. Sterenborg, R. Duin
33
P24
|
Optimizing Single-Copy Newspaper Sales with JED
Jan-Joost Spanjers, Marco Bloemendaal, Tom Heskes
34
D2
|
Online Adaptation of Computer Game Opponent AI
Pieter Spronck, Ida Sprinkhuizen-Kuyper, Eric Postma
36
P1
|
The Performance of (Least Squares) Support Vector Machines
for Multivariate Spectral Calibration
U. Thissen, B. Üstün, W.J. Melssen, L.M.C. Buydens
37
P18
|
A Constrained EM Algorithm for Large-Scale Mixture Modeling
J.J. Verbeek, N. Vlassis, J.R.T.J. Nunnink
Intelligent Traffic Light Control
Marco Wiering
38
P4
40
D3
|
|
The Xetal INCA: an Embedded Platform for Combining Classification
Algorithms and Conventional Image Processing
Rik Wetzels, Philips CFT
D4
|
Iterated Extended Kalman Smoothing with Expectation-Propagation
Alexander Ypma, Tom Heskes
42
P14
|
Probabilistic Models for Distributed Surveillance
Wojciech Zajdel, Ben Kröse
44
P5
|
Maturing a Network Structure for Rule Extraction
Berend Jan van der Zwaag, Suleyman Malki and Lambert Spaaneneburg
46
P20
STW Projecten gehonoreerd in 1997
NGN 4480: Knowledge Representation with Neural Networks
Postertitel: Application of Cluster Variation method to Genetic Linkage Analysis
Kees Albers, Bert Kappen
1
UGN 4496: Neural Network Approach to Scale Space Grouping in Image Analysis
Postertitel: Perceptual Grouping
5
Remco Duits
NIF4494: Quantization of Temporal Patterns by Neural Network
Postertitel: A Dynamic Bayesian Network for Polyphonic Music Transcription
3
Ali Taylan Cemgil, Bert Kappen
NCH 4501: Monitoring, Identification and Control of Chemical
Systems and Processes using Neural Networks
Postertitel: The performance of (Least Squares) Support Vector Machines
for multivariate spectral calibration
U. Thissen, B. Üstün, W.J. Melssen, L.M.C. Buydens
37
LGN 4503: Application of a fuzzy neural network to medical imaging segmentation
Postertitel: A Virtual Mobile Robot Left Ventricle Wall Delineation in
cardiac MR Images
2
F. Behloul, B.P.F. Lelieveldt, R.J. van der Geest, J.H.C. Reiber
DEL 4506: Neuro-Fuzzy Modeling in Model Based Fault Detection,
Fault Isolation and Controller
Postertitel: Robust Active Fault-Tolerant Control
16
Stoyan Kanev, Michel Verhaegen and Alexander Efremov
P15
P21
P8
P18
P9
P11
STW Projecten gehonoreerd in 1999
NNN 5322: A decision support system for medical diagnosis
using a large probalistic network
Postertitel: Promedas: A diagnostic decision support system
Bert Kappen, Wim Wiegerinck, Ender Akay, Marcel Nijman,
Jan Neijt, André van Beek
ENN 5323: Sales forecasting through aggregation
Postertitel: Neural-Bayesian and knowledge based methods
Pim Ouwehand
ANN 5312: Probabilistische modellen voor het volgen van meerdere
objecten met meerdere sensoren
Postertitel:
Probabilistic Models for Distributed Surveillance
Wojciech Zajdel, Ben Kröse
RNN 5316: Improving endoscopic detection of lungcancer using
autofluorescence spectroscopy
Postertitel: Combining autofluorescence and diffuse reflectance
spectroscopy for improving lesion diagnostics in lungs
M.Skurichina, A. Amelink, M. Bard, H. Sterenborg, R. Duin
NNN 5321: Graphical models for data mining
Postertitel: Iterated extended Kalman smoothing with expectation-propagation
Alexander Ypma, Tom Heskes
17
D1
28
P16
44
P5
33
P24
42
P14
Posterpresentaties
Plattegrond Posters en Demonstraties
SPSS
Elsevier
Registration
D1
Kappen
D2
Spanjers
D3
Wiering
D4
Wetzels
D5
Jacobs
D6
De
Jonge
P9
P14
P19
P20
P21
Behloul
Ypma
Malki
Zwaag
Duits
P10
P15
P22
P23
Oost
Albers
Jijkoun
Ridder
P11
P16
Kanev
Ouwehand
P24
Skurichina
P12
P17
P25
P26
P26
Kersseboom
Engeland
Juszczak
Pavlik
Pekalska
P13
P18
Hupkens
Thissen
P1
Spronckl
P2
P3
P4
P5
P6
P7
P8
Kok
Hagen
Verbeek
Zajdel
Kröse
Hoen
Cemgil