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» Slideshow: functional presentations
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ICPR
2000
IEEE
16 years 7 months ago
General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of D
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
Jakob Vogdrup Hansen, Tom Heskes
KDD
2004
ACM
135views Data Mining» more  KDD 2004»
16 years 7 months ago
Discovering additive structure in black box functions
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
Giles Hooker
JSAC
2006
102views more  JSAC 2006»
15 years 6 months ago
A deterministic frequency-domain model for the indoor power line transfer function
The characterization of the transfer function of the power line (PL) channel is a nontrivial task that requires a truly interdisciplinary approach. Until recently, a common attribu...
S. Galli, Thomas C. Banwell
ATAL
2005
Springer
16 years 1 days ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
FP
1992
135views Formal Methods» more  FP 1992»
15 years 10 months ago
High Level Specification of I/O in Functional Languages
The interface with the outside world has always been one of the weakest points of functional languages. It is not easy to incorporate I/O without being allowed to do side-effects....
Peter Achten, John H. G. van Groningen, Marinus J....