User profiles for Walter Kosters
 | Walter KostersAssociate professor, Universiteit Leiden Verified email at liacs.leidenuniv.nl Cited by 2571 |
[PDF][PDF] Artificial intelligence: definition, trends, techniques, and cases
… Kosters, Peter van der Putten and Mannes Poel … Kosters, Peter van der Putten and
Mannes Poel … Walter Kosters is a researcher at LIACS, the Computer Science department …
Mannes Poel … Walter Kosters is a researcher at LIACS, the Computer Science department …
SVision: a deep learning approach to resolve complex structural variants
Complex structural variants (CSVs) encompass multiple breakpoints and are often missed
or misinterpreted. We developed SVision, a deep-learning-based multi-object-recognition …
or misinterpreted. We developed SVision, a deep-learning-based multi-object-recognition …
Genetic programming for data classification: Partitioning the search space
J Eggermont, JN Kok, WA Kosters - … of the 2004 ACM symposium on …, 2004 - dl.acm.org
When Genetic Programming is used to evolve decision trees for data classification, search
spaces tend to become extremely large. We present several methods using techniques from …
spaces tend to become extremely large. We present several methods using techniques from …
Data mining approaches to criminal career analysis
JS De Bruin, TK Cocx, WA Kosters… - … Conference on Data …, 2006 - ieeexplore.ieee.org
Narrative reports and criminal records are stored digitally across individual police departments,
enabling the collection of this data to compile a nation-wide database of criminals and …
enabling the collection of this data to compile a nation-wide database of criminals and …
Determining the diameter of small world networks
FW Takes, WA Kosters - Proceedings of the 20th ACM international …, 2011 - dl.acm.org
In this paper we present a novel approach to determine the exact diameter (longest shortest
path length) of large graphs, in particular of the nowadays frequently studied small world …
path length) of large graphs, in particular of the nowadays frequently studied small world …
A caged lanthanide complex as a paramagnetic shift agent for protein NMR
A lanthanide complex, named CLaNP (caged lanthanide NMR probe) has been developed
for the characterisation of proteins by paramagnetic NMR spectroscopy. The probe consists …
for the characterisation of proteins by paramagnetic NMR spectroscopy. The probe consists …
Deep model-based reinforcement learning for high-dimensional problems, a survey
Deep reinforcement learning has shown remarkable success in the past few years. Highly
complex sequential decision making problems have been solved in tasks such as game …
complex sequential decision making problems have been solved in tasks such as game …
Formal models of appraisal: Theory, specification, and computational model
J Broekens, D DeGroot, WA Kosters - Cognitive Systems Research, 2008 - Elsevier
Cognitive appraisal theories (CATs) explain human emotions as a result of the subjective
evaluation of events that occur in the environment. Recently, arguments have been put forward …
evaluation of events that occur in the environment. Recently, arguments have been put forward …
[HTML][HTML] Computing the eccentricity distribution of large graphs
FW Takes, WA Kosters - Algorithms, 2013 - mdpi.com
The eccentricity of a node in a graph is defined as the length of a longest shortest path starting
at that node. The eccentricity distribution over all nodes is a relevant descriptive property …
at that node. The eccentricity distribution over all nodes is a relevant descriptive property …
High-accuracy model-based reinforcement learning, a survey
Deep reinforcement learning has shown remarkable success in the past few years. Highly
complex sequential decision making problems from game playing and robotics have been …
complex sequential decision making problems from game playing and robotics have been …