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» Learning and using relational theories
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ACL
2003
15 years 8 months ago
Unsupervised Learning of Dependency Structure for Language Modeling
This paper presents a dependency language model (DLM) that captures linguistic constraints via a dependency structure, i.e., a set of probabilistic dependencies that express the r...
Jianfeng Gao, Hisami Suzuki
SERP
2003
15 years 8 months ago
Specification of the Verity Learning Companion and Self-Assessment Tool
In this paper, the specification of Verity, a webbased instructional tool, is presented. Verity is intended to be used as a learning assistant and self-assessment tool, more than ...
Sergiu Dascalu, Daniela Saru, Ryan Simpson, Justin...
UAI
1998
15 years 8 months ago
A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data
In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...
Stefano Monti, Gregory F. Cooper
SODA
2000
ACM
85views Algorithms» more  SODA 2000»
15 years 8 months ago
Improved bounds on the sample complexity of learning
We present a new general upper bound on the number of examples required to estimate all of the expectations of a set of random variables uniformly well. The quality of the estimat...
Yi Li, Philip M. Long, Aravind Srinivasan
ECIS
2011
14 years 6 months ago
Exploring the contribution of information technology to governance, risk management, and compliance (GRC) initiatives
1 Information technology (IT) has a tremendous impact on the discipline of accounting by introducing new ways of retrieving and processing information about performance deviations ...
Manuel Wiesche, Michael Schermann, Helmut Krcmar