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- John C. Platt
- 2000

This chapter describes a new algorithm for training Support Vector Machines: Sequential Minimal Optimization, or SMO. Training a Support Vector Machine (SVM) requires the solution of a very large… (More)

- Bernhard Schölkopf, John C. Platt, John Shawe-Taylor, Alexander J. Smola, Robert C. Williamson
- Neural Computation
- 2001

Suppose you are given some data set drawn from an underlying probability distribution P and you want to estimate a simple subset S of input space such that the probability that a test point drawn… (More)

- John C. Platt, R. Nitschke
- 1998

This paper proposes a new algorithm for training support vector machines: Sequential Minimal Optimization, or SMO. Training a support vector machine requires the solution of a very large quadratic… (More)

- John C. Platt, Nello Cristianini, John Shawe-Taylor
- NIPS
- 1999

We present a new learning architecture: the Decision Direct ed Acyclic Graph (DDAG), which is used to combine many two-class classi fier into a multi-class classifier. For an N -class problem, the… (More)

- John C. Platt
- Neural Computation
- 1991

We have created a network that allocates a new computational unit whenever an unusual pattern is presented to the network. This network forms compact representations, yet learns easily and rapidly.… (More)

- Paul A. Viola, John C. Platt, Cha Zhang
- NIPS
- 2005

A good image object detection algorithm is accurate, fast, and does not require exact locations of objects in a training set. We can create such an object detector by taking the architecture of the… (More)

- Susan T. Dumais, John C. Platt, David Hecherman, Mehran Sahami
- CIKM
- 1998

1. ABSTRACT Text categorization – the assignment of natural language texts to one or more predefined categories based on their content – is an important component in many information organization and… (More)

Suppose you are given some dataset drawn from an underlying probability distribution P and you want to estimate a “simple” subset S of input space such that the probability that a test point drawn… (More)

- Patrice Y. Simard, David Steinkraus, John C. Platt
- ICDAR
- 2003

Neural networks are a powerful technology for classification of visual inputs arising from documents. However, there is a confusing plethora of different neural network methods that are used in the… (More)

- Asela Gunawardana, Milind Mahajan, Alex Acero, John C. Platt
- INTERSPEECH
- 2005

In this paper, we show the novel application of hidden conditional random fields (HCRFs) – conditional random fields with hidden state sequences – for modeling speech. Hidden state sequences are… (More)