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IDA
2005
Springer
14 years 28 days ago
Combining Bayesian Networks with Higher-Order Data Representations
Abstract. This paper introduces Higher-Order Bayesian Networks, a probabilistic reasoning formalism which combines the efficient reasoning mechanisms of Bayesian Networks with the...
Elias Gyftodimos, Peter A. Flach
KI
2007
Springer
14 years 1 months ago
Extending Markov Logic to Model Probability Distributions in Relational Domains
Abstract. Markov logic, as a highly expressive representation formalism that essentially combines the semantics of probabilistic graphical models with the full power of first-orde...
Dominik Jain, Bernhard Kirchlechner, Michael Beetz
ACISICIS
2005
IEEE
14 years 1 months ago
Modeling Uncertainty in Context-Aware Computing
Uncertainty always exists as an unavoidable factor in any pervasive context-aware applications. This is mostly caused by the imperfectness and incompleteness of data. In this pape...
Binh An Truong, Young-Koo Lee, Sungyoung Lee
CLEF
2008
Springer
13 years 9 months ago
Logistic Regression for Metadata: Cheshire Takes on Adhoc-TEL
In this paper we will briefly describe the approaches taken by the Berkeley Cheshire Group for the Adhoc-TEL 2008 tasks (Mono and Bilingual retrieval). Since the AdhocTEL task is ...
Ray R. Larson
ASPDAC
2010
ACM
165views Hardware» more  ASPDAC 2010»
13 years 5 months ago
Dynamic power estimation for deep submicron circuits with process variation
- Dynamic power consumption in CMOS circuits is usually estimated based on the number of signal transitions. However, when considering glitches, this is not accurate because narrow...
Quang Dinh, Deming Chen, Martin D. F. Wong