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John Carlton Platt (born 1963) is an American computer scientist. He is currently a Fellow at Google. [1] Formerly he was a deputy managing director at Microsoft Research Redmond Labs. [2] Platt worked for Microsoft from 1997 to 2015. Before that, he served as director of research at Synaptics.
John Platt is a Google Fellow, being a technical leader for both Climate and Science. John is best known for his work in machine learning: the SMO algorithm for support vector machines and calibrating the output of models.
Fast training of support vector machines using sequential minimal optimization. JC Platt. Advances in kernel methods, 185-208. , 1999. 9296. 1999. Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. J Platt. Advances in large margin classifiers 10 (3), 61-74.
John Carlton Platt (born 1963) is an American computer scientist. He is currently a Fellow at Google. [1] Formerly he was a deputy managing director at Microsoft Research Redmond Labs. [2] Platt worked for Microsoft from 1997 to 2015. Before that, he served as director of research at Synaptics.
Sequential minimal optimization (SMO) is an algorithm for solving the quadratic programming (QP) problem that arises during the training of support-vector machines (SVM). It was invented by John Platt in 1998 at Microsoft Research. [1]
Oct 24, 2019 · John PLATT, Researcher | Cited by 53,227 | of Google Inc., Mountain View (Google) | Read 166 publications | Contact John PLATT.
John Platt is best known for his work in machine learning: the SMO algorithm for support vector machines and calibrating the output of models. He was an early adopter of convolutional neural networks in the 1990s.
