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CORR
2010
Springer
209views Education» more  CORR 2010»
13 years 6 months ago
An Algorithm to Extract Rules from Artificial Neural Networks for Medical Diagnosis Problems
Artificial neural networks (ANNs) have been successfully applied to solve a variety of classification and function approximation problems. Although ANNs can generally predict bett...
S. M. Kamruzzaman, Md. Monirul Islam
SIGIR
2008
ACM
13 years 6 months ago
Learning from labeled features using generalized expectation criteria
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
Gregory Druck, Gideon S. Mann, Andrew McCallum
TCBB
2010
136views more  TCBB 2010»
13 years 5 months ago
Efficient Extraction of Protein-Protein Interactions from Full-Text Articles
—Proteins and their interactions govern virtually all cellular processes, such as regulation, signaling, metabolism, and structure. Most experimental findings pertaining to such ...
Jörg Hakenberg, Robert Leaman, Nguyen Ha Vo, ...
HIPEAC
2010
Springer
14 years 3 months ago
Maestro: Orchestrating Lifetime Reliability in Chip Multiprocessors
As CMOS feature sizes venture deep into the nanometer regime, wearout mechanisms including negative-bias temperature instability and timedependent dielectric breakdown can severely...
Shuguang Feng, Shantanu Gupta, Amin Ansari, Scott ...
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
14 years 1 months ago
Neural network ensembles for time series forecasting
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
Victor M. Landassuri-Moreno, John A. Bullinaria