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UAI
2008
15 years 1 months ago
Improving the Accuracy and Efficiency of MAP Inference for Markov Logic
In this work we present Cutting Plane Inference (CPI), a Maximum A Posteriori (MAP) inference method for Statistical Relational Learning. Framed in terms of Markov Logic and inspi...
Sebastian Riedel
96
Voted
AAAI
2006
15 years 1 months ago
Unifying Logical and Statistical AI
Intelligent agents must be able to handle the complexity and uncertainty of the real world. Logical AI has focused mainly on the former, and statistical AI on the latter. Markov l...
Pedro Domingos, Stanley Kok, Hoifung Poon, Matthew...
129
Voted
ACSW
2003
15 years 1 months ago
Location Management in Pervasive Systems
Pervasive systems require context awareness in order to be able to provide “anywhere, anytime” computing to mobile users. One type of context information is location informati...
Jadwiga Indulska, Peter Sutton
CORR
2010
Springer
147views Education» more  CORR 2010»
14 years 9 months ago
Matching Dependencies with Arbitrary Attribute Values: Semantics, Query Answering and Integrity Constraints
Matching dependencies (MDs) are used to declaratively specify the identification (or matching) of certain attribute values in pairs of database tuples when some similarity conditi...
Jaffer Gardezi, Leopoldo E. Bertossi, Iluju Kiring...
89
Voted
ICIP
2004
IEEE
16 years 1 months ago
Multisensor raster and vector data fusion based on uncertainty modeling
We propose a new methodology for fusing temporally changing multisensor raster and vector data by developing a spatially and temporally varying uncertainty model of acquired and t...
Sang-Chul Lee, Peter Bajcsy