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ICML
2009
IEEE
14 years 6 months ago
A stochastic memoizer for sequence data
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
Frank Wood, Cédric Archambeau, Jan Gasthaus...
ECIR
1998
Springer
13 years 6 months ago
Coupled Hierarchical IR and Stochastic Models for Surface Information Extraction
We present in this paper a combination of Machine Learning based Information Retrieval (IR) techniques and stochastic language modelling in a hierarchical system that extracts sur...
Hugo Zaragoza, Patrick Gallinari
INEX
2005
Springer
13 years 11 months ago
Parameter Estimation for a Simple Hierarchical Generative Model for XML Retrieval
Abstract. This paper explores the possibility of using a modified Expectation-Maximization algorithm to estimate parameters for a simple hierarchical generative model for XML retr...
Paul Ogilvie, Jamie Callan
WWW
2008
ACM
14 years 6 months ago
Exploring social annotations for information retrieval
Social annotation has gained increasing popularity in many Web-based applications, leading to an emerging research area in text analysis and information retrieval. This paper is c...
Ding Zhou, Jiang Bian, Shuyi Zheng, Hongyuan Zha, ...
CLEF
2004
Springer
13 years 9 months ago
UB at CLEF2004: Cross Language Information Retrieval Using Statistical Language Models
This paper presents the results of the State University of New York at Buffalo (UB) in the Mono-lingual and Multi-lingual tasks at CLEF 2004. For these tasks we used an approach ba...
Miguel E. Ruiz, Munirathnam Srikanth