In probability theory, a Pitman–Yor process denoted PY(d, θ, G0), is a stochastic process whose sample path is a probability distribution. A random… (More)

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2017

2017

- Jipeng Qiang, Yun Wei Li, Yunhao Yuan, Xindong Wu
- Applied Intelligence
- 2017

For finding the appropriate number of clusters in short text clustering, models based on Dirichlet Multinomial Mixture (DMM… (More)

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2014

2014

- Jeffrey W. Miller, Matthew T. Harrison
- Journal of Machine Learning Research
- 2014

In many applications, a finite mixture is a natural model, but it can be difficult to choose an appropriate number of components… (More)

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2012

2012

- Hyohyeong Kang, Seungjin Choi
- 2012 Proceedings of the 20th European Signal…
- 2012

Common spatial patterns (CSP) and probabilistic CSP (PCSP) are popular methods for extracting discriminative features from… (More)

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2012

2012

- Sotirios P. Chatzis, Dimitrios Korkinof, Yiannis Demiris
- ArXiv
- 2012

In this work, we propose the kernel Pitman-Yor process (KPYP) for nonparametric clustering of data with general spatial or… (More)

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2011

2011

- Alex Shyr, Trevor Darrell, Michael I. Jordan, Raquel Urtasun
- CVPR 2011
- 2011

From conventional wisdom and empirical studies of annotated data, it has been shown that visual statistics such as object… (More)

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2011

2011

- Tsuyoshi Okita, Andy Way
- Int. J. of Asian Lang. Proc.
- 2011

The hierarchical Pitman-Yor process-based smoothing method applied to language model was proposed by Goldwater and by Teh; the… (More)

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2010

2010

- Issei Sato, Hiroshi Nakagawa
- KDD
- 2010

One important approach for knowledge discovery and data mining is to estimate unobserved variables because latent variables can… (More)

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2010

2010

- Nicholas Bartlett, David Pfau, Frank D. Wood
- ICML
- 2010

We propose a novel dependent hierarchical Pitman-Yor process model for discrete data. An incremental Monte Carlo inference… (More)

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2010

2010

- Saeedeh Momtazi, Dietrich Klakow
- SIGIR
- 2010

In this paper, we propose a new application of Bayesian language model based on Pitman-Yor process for information retrieval… (More)

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Highly Cited

2003

Highly Cited

2003

The class of species sampling mixture models is introduced as an extension of semiparametric models based on the Dirichlet… (More)

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