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BMCBI
2011
14 years 6 months ago
Estimation of allele frequency and association mapping using next-generation sequencing data
Background: Estimation of allele frequency is of fundamental importance in population genetic analyses and in association mapping. In most studies using next-generation sequencing...
Su Yeon Kim, Kirk E. Lohmueller, Anders Albrechtse...
138
Voted
ICML
2001
IEEE
16 years 3 months ago
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
John D. Lafferty, Andrew McCallum, Fernando C. N. ...
ITCC
2005
IEEE
15 years 8 months ago
A Scalable Generative Topographic Mapping for Sparse Data Sequences
We propose a novel, computationally efficient generative topographic model for inferring low dimensional representations of high dimensional data sets, designed to exploit data s...
Ata Kabán
ICIAP
1997
ACM
15 years 6 months ago
Joint Detection, Interpolation, Motion and Parameter Estimation for Image Sequences with Missing Data
This paper presents methods for detection and reconstruction of `missing' data in image sequences which can be modelled using 3-dimensional autoregressive (3DAR) models. The ...
Anil C. Kokaram, Simon J. Godsill
137
Voted
ICML
2004
IEEE
16 years 3 months ago
Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data
In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when longra...
Charles A. Sutton, Khashayar Rohanimanesh, Andrew ...