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» Generality Is Predictive of Prediction Accuracy
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186
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CSB
2005
IEEE
128views Bioinformatics» more  CSB 2005»
15 years 8 months ago
Application of a Generalized MWC Model for the Mathematical Simulation of Metabolic Pathways Regulated by Allosteric Enzymes
In our effort to elucidate the systems biology of the model organism, Escherichia coli, we have developed a mathematical model that simulates the allosteric regulation for threoni...
Tarek S. Najdi, Chin-Rang Yang, Bruce E. Shapiro, ...
161
Voted
NIPS
2008
15 years 7 months ago
Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree
Unexpected stimuli are a challenge to any machine learning algorithm. Here we identify distinct types of unexpected events, focusing on 'incongruent events' when 'g...
Daphna Weinshall, Hynek Hermansky, Alon Zweig, Jie...
NN
2002
Springer
108views Neural Networks» more  NN 2002»
15 years 5 months ago
Dopamine: generalization and bonuses
In the temporal difference model of primate dopamine neurons, their phasic activity reports a prediction error for future reward. This model is supported by a wealth of experiment...
Sham Kakade, Peter Dayan
KDD
2008
ACM
213views Data Mining» more  KDD 2008»
16 years 6 months ago
Heterogeneous data fusion for alzheimer's disease study
Effective diagnosis of Alzheimer's disease (AD) is of primary importance in biomedical research. Recent studies have demonstrated that neuroimaging parameters are sensitive a...
Jieping Ye, Kewei Chen, Teresa Wu, Jing Li, Zheng ...
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
16 years 28 days ago
Primal sparse Max-margin Markov networks
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
Jun Zhu, Eric P. Xing, Bo Zhang