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March 2018
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September 2018
Machine Learning
Onder redactie van Marco Wiering, Jim Portegies en Sander Bohté
151
Redactioneel
Marco Wiering, Jim Portegies en Sander Bohté
152
Agenda
154
Nieuws
157
Reinforcement learning: from methods to applications
Marco Wiering
167
Vector-space models of words and sentences
Michael Repplinger, Lisa Beinborn, Willem Zuidema
175
Adapting spiking neural networks
Sander M. Bohté, Davide Zambrano
187
On adaptive sensing for high-dimensional signal inference
Rui M. Castro, Ervin Tánczos
196
Sub-Gaussians in game-theoretic probability
Wouter Koolen
199
Ergo learning
Jim Portegies
206
Ethics and the value(s) of Artificial Intelligence
Martijn van Otterlo
210
Interview met Lambert Schomaker: "Het gaat nu echt heel snel"
Nicos J. Starreveld
215
The statistical approach known as Machine Learning
Casper Albers
218
Computerschaak: van idee tot DeepMind
Jaap van den Herik
226
Brute trust
Marijn J. H. Heule
228
Bespreking eindexamens nieuwe stijl: Op zoek naar denkactiviteiten
Wim Caspers, Mark Timmer