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ICANN
2005
Springer
16 years 6 days ago
A Neural Network Model for Inter-problem Adaptive Online Time Allocation
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Matteo Gagliolo, Jürgen Schmidhuber
ISAAC
2004
Springer
115views Algorithms» more  ISAAC 2004»
16 years 1 days ago
Randomized Algorithms for Motif Detection
Motivation: Motif detection for DNA sequences has many important applications in biological studies, e.g., locating binding sites and regulatory signals, and designing genetic prob...
Lusheng Wang, Liang Dong, Hui Fan
HICSS
2003
IEEE
151views Biometrics» more  HICSS 2003»
15 years 12 months ago
An Evaluation of Applying Use Cases to Construct Design versus Validate Design
Use case models capture and describe the functional requirements of a software system. A use case driven development process, where a use case model is the principal basis for con...
Erik Syversen, Bente Anda, Dag I. K. Sjøber...
SENSYS
2003
ACM
15 years 12 months ago
On the scaling laws of dense wireless sensor networks
We consider dense wireless sensor networks deployed to observe arbitrary random fields. The requirement is to reconstruct an estimate of the random field at a certain collector ...
Praveen Kumar Gopala, Hesham El Gamal
COLT
1999
Springer
15 years 11 months ago
Regret Bounds for Prediction Problems
We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...
Geoffrey J. Gordon