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ICANN
2009
Springer
15 years 9 months ago
Constrained Learning Vector Quantization or Relaxed k-Separability
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
Marek Grochowski, Wlodzislaw Duch
ICANN
2001
Springer
15 years 9 months ago
The Importance of Representing Cognitive Processes in Multi-agent Models
We distinguish between two main types of model: predictive and explanatory. It is argued (in the absence of models that predict on unseen data) that in order for a model to increas...
Bruce Edmonds, Scott Moss
TMA
2010
Springer
150views Management» more  TMA 2010»
15 years 2 months ago
Validation and Improvement of the Lossy Difference Aggregator to Measure Packet Delays
One-way packet delay is an important network performance metric. Recently, a new data structure called Lossy Difference Aggregator (LDA) has been proposed to estimate this metric m...
Josep Sanjuàs-Cuxart, Pere Barlet-Ros, Jose...
ICANN
2009
Springer
15 years 2 months ago
MINLIP: Efficient Learning of Transformation Models
Abstract. This paper studies a risk minimization approach to estimate a transformation model from noisy observations. It is argued that transformation models are a natural candidat...
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. ...
NAR
2011
212views Computer Vision» more  NAR 2011»
14 years 7 months ago
Phospho.ELM: a database of phosphorylation sites - update 2011
The Phospho.ELM resource (http://phospho.elm.eu .org) is a relational database designed to store in vivo and in vitro phosphorylation data extracted from the scientific literature...
Holger Dinkel, Claudia Chica, Allegra Via, Cathryn...