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» Using Multiple Alignments to Improve Gene Prediction
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175
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HIPEAC
2009
Springer
15 years 10 months ago
Predictive Runtime Code Scheduling for Heterogeneous Architectures
Heterogeneous architectures are currently widespread. With the advent of easy-to-program general purpose GPUs, virtually every recent desktop computer is a heterogeneous system. Co...
Víctor J. Jiménez, Lluís Vila...
234
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ASPLOS
2009
ACM
16 years 4 months ago
Dynamic prediction of collection yield for managed runtimes
The growth in complexity of modern systems makes it increasingly difficult to extract high-performance. The software stacks for such systems typically consist of multiple layers a...
Michal Wegiel, Chandra Krintz
IJDMMM
2008
124views more  IJDMMM 2008»
15 years 3 months ago
Completing missing views for multiple sources of web media
: Combining multiple data sources, each with its own features, to achieve optimal inference has received a lot of attention in recent years. In inference from multiple data sources...
Shankara B. Subramanya, Zheshen Wang, Baoxin Li, H...
HAIS
2010
Springer
15 years 1 months ago
Reducing Dimensionality in Multiple Instance Learning with a Filter Method
In this article, we describe a feature selection algorithm which can automatically find relevant features for multiple instance learning. Multiple instance learning is considered a...
Amelia Zafra, Mykola Pechenizkiy, Sebastián...
158
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AAAI
2012
13 years 6 months ago
Learning the Kernel Matrix with Low-Rank Multiplicative Shaping
Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) ...
Tomer Levinboim, Fei Sha