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Wood, D. E. et al. A machine learning approach for somatic mutation discovery.
Liu, R. et al. A predictive machine learning approach for microstructure optimization and materials design.
Li, Q. et al. A cross-modality learning approach for vessel segmentation in retinal images.
A machine learning approach for the prediction of protein surface loop flexibility.
This paper presents an artificial neural network based learning approach for handling difficult scenes which will confuse the ALVINN system.
Vibration based machine learning approach for condition monitoring of hydraulic brake system is gaining momentum.
This paper introduces a novel neural network-based reinforcement learning approach for robot gaze control.
This paper presents a Deep Learning approach for traffic sign recognition systems.
We present in this contribution an extension of Oja׳s Hebbian learning approach for non-Euclidean spaces.
Costa, P. R., Acencio, M. L. & Lemke, N. A machine learning approach for genome-wide prediction of morbid and druggable human genes based on systems-level data.
This paper proposes a sequence based learning approach for outlier detection that works for both Error and Event.
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