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Results 1 - 10
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2,896
Modeling multi-step relevance propagation for expert finding
- In CIKM ’08
, 2008
"... An expert finding system allows a user to type a simple text query and retrieve names and contact information of individuals that possess the expertise expressed in the query. This paper proposes a novel approach to expert finding in large enterprises or intranets by modeling candidate experts (pers ..."
Abstract
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Cited by 32 (3 self)
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of multi-step relevance propagation in topicspecific expertise graphs. We model the process of expert finding by probabilistic random walks of three kinds: finite, infinite and absorbing. Experiments on TREC Enterprise Track data originating from two large organizations show that our methods using multi-step
Modeling Expert Finding as an Absorbing Random Walk
"... We introduce a novel approach to expert finding based on multi-step relevance propagation from documents to related candidates. Relevance propagation is modeled with an absorbing random walk. The evaluation on the two official Enterprise TREC data sets demonstrates the advantage of our method over t ..."
Abstract
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Cited by 8 (3 self)
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We introduce a novel approach to expert finding based on multi-step relevance propagation from documents to related candidates. Relevance propagation is modeled with an absorbing random walk. The evaluation on the two official Enterprise TREC data sets demonstrates the advantage of our method over
On kinetic waves: II) A theory of traffic Flow on long crowded roads
- Proc. Royal Society A229
, 1955
"... This paper uses the method of kinematic waves, developed in part I, but may be read independently. A functional relationship between flow and concentration for traffic on crowded arterial roads has been postulated for some time, and has experimental backing (? 2). From this a theory of the propagati ..."
Abstract
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Cited by 496 (2 self)
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of the propagation of changes in traffic distribution along these roads may be deduced (??2, 3). The theory is applied (?4) to the problem of estimating how a 'hump', or region of increased concentration, will move along a crowded main road. It is suggested that it will move slightly slower than the mean
Real-time simultaneous localisation and mapping with a single camera
, 2003
"... Ego-motion estimation for an agile single camera moving through general, unknown scenes becomes a much more challenging problem when real-time performance is required rather than under the off-line processing conditions under which most successful structure from motion work has been achieved. This t ..."
Abstract
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Cited by 439 (21 self)
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-based, is more relevant here than off-line structure from motion methods due to the more fundamental emphasis placed on propagation of uncertainty. We present a top-down Bayesian framework for singlecamera localisation via mapping of a sparse set of natural features using motion modelling
Structured Document Retrieval, Multimedia Retrieval, and Entity Ranking Using PF/Tijah
"... XML retrieval system, to evaluate structured document retrieval, multimedia retrieval, and entity ranking tasks in the context of INEX 2007. For the retrieval of textual and multimedia elements in the Wikipedia data, we investigated various length priors and found that biasing towards longer element ..."
Abstract
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Cited by 9 (4 self)
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elements than the ones retrieved by our language modelling approach can be useful. For retrieving images in isolation, we found that their associated text is a very good source of evidence in the Wikipedia collection. For the entity ranking task we used random walks to model multi-step relevance
Value Relevance of the Multi-step Income Statement in Japan ∗
, 2005
"... CIRJE Discussion Papers can be downloaded without charge from: ..."
A Multi-Step Forecast Density
"... This paper makes two contribution to the literature on density forecasts. First, we propose a novel bootstrap approach to estimate forecasting densities based on nonparametric techniques. The method is based on the Markov Bootstrap that is suitable to resample dependent data. The combination of nonp ..."
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with the “curse of dimensionality”. Finally, we empirically investigate the relevance of the method in out-of-sample forecasting the density of 3 business cycles variables for the US: real GDP, the Coincident Indicator and Industrial Production. The results indicate that the method gives reliable density
Multi-step Classification Approaches to Cumulative Citation Recommendation
, 2013
"... Knowledge bases have become indispensable sources of information. It is therefore critical that they rely on the latest information available and get updated every time new facts surface. Knowledge base acceleration (KBA) systems seek to help humans expand knowledge bases like Wikipedia by automatic ..."
Abstract
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Cited by 7 (2 self)
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by automatically recommending edits based on incoming content streams. A core step in this process is that of identifying relevant content, i.e., filtering documents that would imply modifications to the attributes or relations of a given target entity. We propose two multi-step classification approaches
1Automatic Multi-Stepping Approach for Ice Predictions
"... Abstract:- Ice growth calculations are generally limited to a single step covering the entire icing exposure, with all relevant parameters taken as constant and calculated on the clean body. For large ice accretions, it can be necessary to recalculate the flow and icing parameters as their value var ..."
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vary when ice accretes. This procedure is known as multi-stepping and appears reasonable under rime and glaze ice type regimes. A manual multi-stepping ice calculation is generally possible. However, an automatic multi-stepping ice prediction is often difficult to obtain. The present paper describes
Relevancy Propagation
, 2007
"... Abstract. SMT solvers that perform search over a large set of constraints need to maintain, update and propagate truth assignments to atomic constraints. Each new truth assignment may lead to additional constraint propagation, which depending on the constraint domain can be costly. Relevancy propaga ..."
Abstract
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Cited by 9 (4 self)
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Abstract. SMT solvers that perform search over a large set of constraints need to maintain, update and propagate truth assignments to atomic constraints. Each new truth assignment may lead to additional constraint propagation, which depending on the constraint domain can be costly. Relevancy
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