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Markov Logic Networks
 MACHINE LEARNING
, 2006
"... We propose a simple approach to combining firstorder logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a firstorder knowledge base with a weight attached to each formula (or clause). Together with a set of constants representing objects in the ..."
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Cited by 816 (39 self)
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in the domain, it specifies a ground Markov network containing one feature for each possible grounding of a firstorder formula in the KB, with the corresponding weight. Inference in MLNs is performed by MCMC over the minimal subset of the ground network required for answering the query. Weights are efficiently
On A Possible Ground State for Quantum Gravity (∗)
, 1997
"... A variational calculation is presented of the ADMenergy of the quantized gravitational field around a wormhole solution of the classical Einstein’s equations. One finds the energy of such state to be in general lower than the perturbative ground state, in which the quantized gravity field fluctuate ..."
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A variational calculation is presented of the ADMenergy of the quantized gravitational field around a wormhole solution of the classical Einstein’s equations. One finds the energy of such state to be in general lower than the perturbative ground state, in which the quantized gravity field
Gas of wormholes: a possible ground state of Quantum Gravity
"... In order to gain insight into the possible Ground State of Quantized Einstein’s Gravity, we have derived a variational calculation of the energy of the quantum gravitational field in an open space, as measured by an asymptotic observer living in an asymptotically flat spacetime. We find that for Qu ..."
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Cited by 2 (1 self)
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In order to gain insight into the possible Ground State of Quantized Einstein’s Gravity, we have derived a variational calculation of the energy of the quantum gravitational field in an open space, as measured by an asymptotic observer living in an asymptotically flat spacetime. We find
Combined Object Categorization and Segmentation With An Implicit Shape Model
 In ECCV workshop on statistical learning in computer vision
, 2004
"... We present a method for object categorization in realworld scenes. Following a common consensus in the field, we do not assume that a figureground segmentation is available prior to recognition. However, in contrast to most standard approaches for object class recognition, our approach automatical ..."
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Cited by 406 (10 self)
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We present a method for object categorization in realworld scenes. Following a common consensus in the field, we do not assume that a figureground segmentation is available prior to recognition. However, in contrast to most standard approaches for object class recognition, our approach
A Study of Possible GroundMotion Amplification at the Coyote Lake Dam, California
"... Abstract The abutment site at the Coyote Lake Dam recorded an unusually large peak acceleration of 1.29g during the 1984 Morgan Hill earthquake. Following this earthquake another strongmotion station was installed about 700 m downstream from the abutment station. We study all events (seven) record ..."
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) recorded on these stations, using ratios of peak accelerations, spectral ratios, and particle motion polarization (using holograms) to investigate the relative ground motion at the two sites. We find that in all but one case the motion at the abutment site is larger than the downstream site over a broad
Determinants of longterm growth: a Bayesian Averaging of Classical Estimates (BACE) approach
, 2003
"... This paper examines the robustness and joint interaction of explanatory variables in crosscountry economic growth regressions. It employs a novel approach, Bayesian Averaging of Classical Estimates (BACE), which constructs estimates as a weighted average of OLS estimates for every possible combina ..."
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Cited by 374 (3 self)
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This paper examines the robustness and joint interaction of explanatory variables in crosscountry economic growth regressions. It employs a novel approach, Bayesian Averaging of Classical Estimates (BACE), which constructs estimates as a weighted average of OLS estimates for every possible
Crystal structure of rhodopsin: a G proteincoupled receptor
 LeTrong I, Teller DC, Okada T, Stenkamp RE et
, 2000
"... Heterotrimeric guanine nucleotideÐbinding protein (G protein)Ðcoupled receptors (GPCRs) respond to a variety of different external stimuli and activate G proteins. GPCRs share many structural features, including a bundle of seven transmembrane a helices connected by six loops of varying lengths. We ..."
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Cited by 376 (4 self)
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. We determined the structure of rhodopsin from diffraction data extending to 2.8 angstroms resolution. The highly organized structure in the extracellular region, including a conserved disulÞde bridge, forms a basis for the arrangement of the sevenhelix transmembrane motif. The ground
Distributed Optimization by Ant Colonies
, 1991
"... Ants colonies exhibit very interesting behaviours: even if a single ant only has simple capabilities, the behaviour of a whole ant colony is highly structured. This is the result of coordinated interactions. But, as communication possibilities among ants are very limited, interactions must be based ..."
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Cited by 332 (22 self)
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Ants colonies exhibit very interesting behaviours: even if a single ant only has simple capabilities, the behaviour of a whole ant colony is highly structured. This is the result of coordinated interactions. But, as communication possibilities among ants are very limited, interactions must be based
Smodels  an Implementation of the Stable Model and WellFounded Semantics for Normal Logic Programs
, 1997
"... The Smodels system is a C++ implementation of the wellfounded and stable model semantics for rangerestricted functionfree normal programs. The system includes two modules: (i) smodels which implements the two semantics for ground programs and (ii) parse which computes a grounded version of a range ..."
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Cited by 294 (9 self)
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The Smodels system is a C++ implementation of the wellfounded and stable model semantics for rangerestricted functionfree normal programs. The system includes two modules: (i) smodels which implements the two semantics for ground programs and (ii) parse which computes a grounded version of a
Status of land cover classification accuracy assessment
 REMOTE SENSING OF ENVIRONMENT
, 2002
"... The production of thematic maps, such as those depicting land cover, using an image classification is one of the most common applications of remote sensing. Considerable research has been directed at the various components of the mapping process, including the assessment of accuracy. This paper brie ..."
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Cited by 266 (3 self)
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assumptions (e.g., perfect coregistration of data sets) and the provision of rarely conveyed information (e.g., sampling design for ground data acquisition). Eight broad problem areas that currently limit the ability to appropriately assess, document, and use the accuracy of thematic maps derived from remote
Results 1  10
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