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» Document Retrieval using a Probabilistic Knowledge Model
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IJCAI
2007
14 years 11 months ago
Semantic Smoothing of Document Models for Agglomerative Clustering
In this paper, we argue that the agglomerative clustering with vector cosine similarity measure performs poorly due to two reasons. First, the nearest neighbors of a document belo...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
EUROCAST
2009
Springer
116views Hardware» more  EUROCAST 2009»
15 years 1 months ago
Complete Sets of Hamiltonian Circuits for Classification of Documents
The calculation of Hamiltonian Circuits is an NP-complete task. This paper uses slightly modified complete sets of Hamiltonian circuits for the classification of documents. The sol...
Bernd Steinbach, Christian Posthoff
IJIS
2008
123views more  IJIS 2008»
14 years 10 months ago
Algorithms of nonlinear document clustering based on fuzzy multiset model
Abstract: Fuzzy multiset is applicable as a model of information retrieval because it has the mathematical structure which expresses the number and the degree of attribution of an ...
Kiyotaka Mizutani, Ryo Inokuchi, Sadaaki Miyamoto
SIGIR
2010
ACM
15 years 1 months ago
Estimation of statistical translation models based on mutual information for ad hoc information retrieval
As a principled approach to capturing semantic relations of words in information retrieval, statistical translation models have been shown to outperform simple document language m...
Maryam Karimzadehgan, ChengXiang Zhai
CIKM
2004
Springer
15 years 3 months ago
Unified utility maximization framework for resource selection
This paper presents a unified utility framework for resource selection of distributed text information retrieval. This new framework shows an efficient and effective way to infer ...
Luo Si, James P. Callan