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ECSQARU
2001
Springer
15 years 2 months ago
An Empirical Investigation of the K2 Metric
Abstract. The K2 metric is a well-known evaluation measure (or scoring function) for learning Bayesian networks from data [7]. It is derived by assuming uniform prior distributions...
Christian Borgelt, Rudolf Kruse
ICDM
2009
IEEE
183views Data Mining» more  ICDM 2009»
14 years 7 months ago
Multirelational Topic Models
In this paper we propose the multirelational topic model (MRTM) for multiple types of link modeling such as citation and coauthor links in document networks. In the citation networ...
Jia Zeng, William K. Cheung, Chun-hung Li, Jiming ...
CVPR
2005
IEEE
15 years 11 months ago
Restoration and Recognition in a Loop
In this paper we present a novel learning based method for restoring and recognizing images of digits that have been blurred using an unknown kernel. The novelty of our work is an...
Mithun Das Gupta, ShyamSundar Rajaram, Nemanja Pet...
SIGCOMM
2004
ACM
15 years 3 months ago
Mercury: supporting scalable multi-attribute range queries
This paper presents the design of Mercury, a scalable protocol for supporting multi-attribute rangebased searches. Mercury differs from previous range-based query systems in that...
Ashwin R. Bharambe, Mukesh Agrawal, Srinivasan Ses...
IJCNN
2000
IEEE
15 years 2 months ago
Phoneme Recognition with Staged Neural Networks
This paper presents a staged series of artificial neural networks (ANNs) for phoneme recognition for text-to-speech applications. Contrary from much of the prior published literat...
Fabio A. Arciniegas, Mark J. Embrechts