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3 days ago · Koller and Friedman (2009) Daphne Koller and Nir Friedman. Probabilistic graphical models: principles and techniques. MIT press, 2009. Lauritzen and Spiegelhalter (1988) Steffen L Lauritzen and David J Spiegelhalter. Local computations with probabilities on graphical structures and their application to expert systems.
3 days ago · Dynamic Bayesian Networks (DBNs) are a type of probabilistic graphical model that can be used to model complex systems that evolve over time. They are particularly useful for modeling time series data, where the value of a variable at one time point depends on the values of variables at previous time points.
1 day ago · Joel Hellermark, founder of Sana. But once the different sessions unfolded, an existential through-line could be sensed. Geoffrey Hinton touched upon how humans and large language models are analogy machines. “The analogy with religious belief and symbol processing is the same.”. George is clearly a role model of Joel Hellermark’s….
6 days ago · Proceedings of the 13th UAI Bayesian Modeling Applications Workshop (BMAW 2016) co-located with the 32nd Conference on Uncertainty in Artificial Intelligence (UAI 2016), New York City, NY, USA, June 25, 2016.
2 days ago · Research interests. I have broad interests in computer and robotic vision, machine learning, probabilistic graphical models, and optimization. My main research focus is on the application of machine learning techniques (specifically, structured probablistic models and, more recently, deep learning) to geometric and semantic scene understanding.
6 days ago · Bibliographic content of Graphical Models / Computer Vision, Graphics, and Image Processing.
5 days ago · Daphne Koller on reimagining medicine: Using machine learning to revolutionize drug discovery. Max Tegmark’s thesis: AI safety, consciousness, and meaning. Watch the recordings
