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CSDA
2006
102views more  CSDA 2006»
13 years 10 months ago
An improved Akaike information criterion for state-space model selection
Following the work of Hurvich, Shumway, and Tsai (1990), we propose an "improved" variant of the Akaike information criterion, AICi, for state-space model selection. The...
Thomas Bengtsson, Joseph E. Cavanaugh
PR
2010
147views more  PR 2010»
13 years 8 months ago
Minimum classification error learning for sequential data in the wavelet domain
Wavelet analysis has found widespread use in signal processing and many classification tasks. Nevertheless, its use in dynamic pattern recognition have been much more restricted ...
D. Tomassi, Diego H. Milone, L. Forzani
BMCBI
2006
165views more  BMCBI 2006»
13 years 10 months ago
Improved variance estimation of classification performance via reduction of bias caused by small sample size
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
Ulrika Wickenberg-Bolin, Hanna Göransson, M&a...
FPL
2007
Springer
124views Hardware» more  FPL 2007»
14 years 4 months ago
A Quantitative Prediction Model for Hardware/Software Partitioning
An important step in Heterogeneous System Development is Hardware/Software Partitioning. This process involves exploring a huge design space. By using profiling to select hot-spo...
Roel Meeuws, Yana Yankova, Koen Bertels, Georgi Ga...
HAIS
2010
Springer
14 years 2 months ago
Graph-Based Model-Selection Framework for Large Ensembles
The intuition behind ensembles is that different prediciton models compensate each other’s errors if one combines them in an appropriate way. In case of large ensembles a lot of...
Krisztian Buza, Alexandros Nanopoulos, Lars Schmid...