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» Evaluating learning algorithms and classifiers
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ECML
2007
Springer
14 years 4 months ago
On Minimizing the Position Error in Label Ranking
Conventional classification learning allows a classifier to make a one shot decision in order to identify the correct label. However, in many practical applications, the problem ...
Eyke Hüllermeier, Johannes Fürnkranz
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
14 years 4 months ago
Estimation of fitness landscape contours in EAs
Evolutionary algorithms applied in real domain should profit from information about the local fitness function curvature. This paper presents an initial study of an evolutionary...
Petr Posík, Vojtech Franc
AIA
2006
13 years 11 months ago
Some Experiments Around a Neural Network for Multimodal Associations
This paper presents a study of the model of triple BAM by [11] which is an improved variation of the original BAM model by [7]. This class of model aims at integrating different s...
Yann Boniface, Reghis Abdelmalek
ICML
2010
IEEE
13 years 11 months ago
Convergence of Least Squares Temporal Difference Methods Under General Conditions
We consider approximate policy evaluation for finite state and action Markov decision processes (MDP) in the off-policy learning context and with the simulation-based least square...
Huizhen Yu
HT
2009
ACM
14 years 1 months ago
Dynamic hypertext generation for reusing open corpus content
Adaptive hypermedia systems traditionally focus on providing personalised learning services for formal or informal learners. The learning material is typically sourced from a prop...
Ben Steichen, Séamus Lawless, Alexander O'C...