What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- Statistics
John Platt focuses on Artificial intelligence, Support vector machine, Pattern recognition, Machine learning and Information retrieval.
His Artificial intelligence research includes themes of Speech recognition, Computer vision and Natural language processing.
His Support vector machine research is multidisciplinary, relying on both Quadratic programming, Kernel and Training set.
His work in the fields of Classifier overlaps with other areas such as Pointwise and Term.
His studies deal with areas such as Crowds, Cross entropy and Stacking as well as Machine learning.
The Information retrieval study combines topics in areas such as Similarity and Cluster analysis.
His most cited work include:
- Fast training of support vector machines using sequential minimal optimization (4667 citations)
- Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods (3781 citations)
- Estimating the Support of a High-Dimensional Distribution (3725 citations)
What are the main themes of his work throughout his whole career to date?
John Platt mostly deals with Artificial intelligence, Pattern recognition, Algorithm, Machine learning and Computer vision.
His Artificial intelligence research includes themes of Speech recognition and Natural language processing.
John Platt has researched Pattern recognition in several fields, including Set and Cluster analysis.
His work on Display device expands to the thematically related Computer vision.
Many of his studies on Classifier apply to Data mining as well.
He most often published in these fields:
- Artificial intelligence (48.04%)
- Pattern recognition (21.02%)
- Algorithm (13.16%)
What were the highlights of his more recent work (between 2006-2019)?
- Artificial intelligence (48.04%)
- Pattern recognition (21.02%)
- Machine learning (12.01%)
In recent papers he was focusing on the following fields of study:
Artificial intelligence, Pattern recognition, Machine learning, Algorithm and Data mining are his primary areas of study.
His Artificial intelligence research incorporates themes from Computer vision and Natural language processing.
Pattern recognition is closely attributed to Set in his study.
His study ties his expertise on Representation together with the subject of Machine learning.
His study in Algorithm is interdisciplinary in nature, drawing from both Mixture model and Mathematical optimization.
His Data mining study frequently links to other fields, such as Malware.
Between 2006 and 2019, his most popular works were:
- Quantum supremacy using a programmable superconducting processor (1598 citations)
- Supplementary information for "Quantum supremacy using a programmable superconducting processor" (967 citations)
- From captions to visual concepts and back (934 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Statistics
The scientist’s investigation covers issues in Artificial intelligence, Machine learning, Data mining, Information retrieval and Pattern recognition.
The various areas that John Platt examines in his Artificial intelligence study include Computer vision and Natural language processing.
His Machine learning study combines topics in areas such as Function, Inference, Binary number and Minimax.
His Data mining study combines topics from a wide range of disciplines, such as Graph based and Malware.
His work carried out in the field of Information retrieval brings together such families of science as Level of detail and Component.
His work in the fields of Pattern recognition, such as Sparse approximation, intersects with other areas such as Generative model.
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