Decision tree classification learning algorithm is one of the most widely used and very practical inductive reasoning method, In machine learning, data mining, signal processing, intelligent control, ...

One of the application areas is patient respiration monitoring for enhanced patient care and decision support to healthcare ... State Information (CSI), improved signal processing, and Machine ...

Is there any connection between decision trees, prefix codes and wavelet transforms ... This course will explore such questions that link the fields of signal processing and machine learning, both of ...

Signal processing algorithms, architectures ... rapidly accessible memory increasingly more available and affordable. In the past ten years machine learning and deep learning has continued this ...

Machine Learning processing allows moving some algorithms from the application processor to the STMicroelectronics sensor, enabling consistent reduction of power consumption. The results of the ...

The Department of Industrial Engineering and Management Sciences is a leader in the science of decision-making ... through innovation in algorithms, computation, and mathematical modeling. As ...

The Information Processing and Machine Learning Laboratory (IPML) supports research in theoretical algorithm development in digital signal processing, adaptive and nonlinear signal processing, machine ...

Research and teaching interests: Human decision making, distributed detection and information fusion, optimization for signal processing and machine learning, internet of things. I am currently an ...