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Lecture Notes in Computer Science
We extend the underling model of LDJT to provide means to calculate a lifted temporal solution to the maximum expected utility problem. ... The lifted dynamic junction tree algorithm (LDJT) efficiently answers exact filtering and prediction queries for probabilistic relational temporal models by building and then reusing a first-order cluster ... Furthermore, we are working on calculating a most probable explanation with LDJT to, e.g., determine the most likely cause for observed changes in the condition of patients. ...doi:10.1007/978-3-030-12738-1_10 fatcat:jgl7xd2zsnd7jeyawlr7pxraxu
In the static case, the inference tasks consist of (i) projection (margins), (ii) most-probable explanation (MPE), and (iii) maximum a posteriori (MAP). ... Another idea is to build a so called factor graph model of data and introduce a probability distribution to reproduce data approximately. ...doi:10.18420/btw2019-ws-27 dblp:conf/btw/Braun19 fatcat:hvvkjdsmofge7joehighbbr2bm
The most probable number of each of the nine possible sequences of judgment categories was computed and compared with the observed number. ... We do not wish to imply that we consider this to be an ultimate explanation. . . .” ...
We further extend this idea by using a combination of temporal association rule mining and unsupervised learning in order to find explainable subgroups of patients with more personalized prediction. ... We illustrate the finding and more explanation regarding the NBH probability in the following section. ... Similar to the issue related to support and confident, lift is susceptible to infrequent items with a relatively low probability complication rules that can be ranked wrongly as the most interesting itemsets ...doi:10.1111/coin.12313 fatcat:t42aoje46nfqvfwtqo4rdcwmwu
Spatial and Temporal Reasoning
We present a representation of events and action based on interval temporal logic that is signi cantly more expressive and more natural than most previous AI approaches. ... An approach to the frame problem based on explanation closure is shown to be both powerful and natural when combined with our representational framework. ... Note that the formulation of the temporal logic and the use of explanation closure are separable issues. ...doi:10.1007/978-0-585-28322-7_7 fatcat:aasv532bijdpdftqafld443mti
We present a representation of events and action based on interval temporal logic that is signi cantly more expressive and more natural than most previous AI approaches. ... An approach to the frame problem based on explanation closure is shown to be both powerful and natural when combined with our representational framework. ... Note that the formulation of the temporal logic and the use of explanation closure are separable issues. ...doi:10.1093/logcom/4.5.531 fatcat:nu2bkqrol5cdbg4cybpdvycsfa
There are several potential explanations for 39 these temporal effects, but analyses such as these, which are based on return rates of adults, cannot 40 separate out effects operating on the downstream ... are able to pass through the same fish lift. ...doi:10.1111/jfb.13606 pmid:29624685 fatcat:i2efogubd5gydnsqy7auseco5i
Edinburgh Review: Critical Journal
It would be throw- mg labour away, to answer arguments resting on the assumption of what is notoriously most groundless. ... Religious and Temporal Knowledge. 523 practice to express himself with many qualifications, and to avoid all broad assertions; but this passage, though worded eautious- ly, plainly means, that those who ...
For Ͻ0.05 ͑or Ͼ0.6), the rolling ͑or lifting͒ probability makes up more than 90% of the total entrainment probability and thus can be used as an approximation to the total probability of entrainment. ... The proposed rolling and lifting probabilities are further linked to the two separate criteria for incipient motion to explore the critical entrainment probabilities. ... The work of Shields ͑1936͒ is probably the most well-known entrainment criterion that falls into this category. ...doi:10.1061/(asce)0733-9429(2003)129:2(110) fatcat:ywnifnsonjcrljirefyxbxr254
On its most natural reading, this sentence means that John and Mary stood up at the same time (though not necessarily in the same place). This reading may be termed the 'temporal proximity' reading. ... Probably no one would claim that this is the only sort of situation in which the sentence is true, however; we would probably want to weaken the requirement at least to the point where the group of John ...doi:10.1007/bf00630733 fatcat:qmfzabolhbgqzkjltfwsfkc5ha
Current methods suffer from poor scalability to high dimensional time series data and are inefficient in capturing temporal behavior. ... Analyzing safety incidents using operational data and producing event-based explanations is invaluable to airline companies as well as to governing organizations such as the Federal Aviation Administration ... On the other hand, for the nominal flights (in green), the instance probabilities remain close to zero most of the times, indicating absence of precursors in majority. ...arXiv:1710.04749v2 fatcat:olhun6kwine27k4znp4kduzfsm
Lecture Notes in Computer Science
Another type of query asks for a most probable explanation (MPE) for given events. The purpose of this paper is twofold: (i) We formalise how to compute an MPE in a lifted way with LVE and LJT. ... A lifted computation of MPEs exploits symmetries, while providing a correct and exact result equivalent to one computed on ground level. ... Most Probable Explanation with LVE For LVE mpe , we replace lifted summing out with a lifted maxing out that picks a maximum potential and retains the argument values that lead to that potential Operator ...doi:10.1007/978-3-319-91379-7_4 fatcat:e4wn4v4hb5d2fninvvhdbbjpaq
Such association rules comprise one of the most prominent and wide-spread analysis techniques for pattern detection, however, there are only few visualization methods. ... Given an attribute of interest (in most cases the class variable like Failure in the example setting) and its conditioning parents, every probability statement like P (Failure = Bearings broken | Suspension ... The same can be stated for the lift and confidence. The latter means that the problem became more ane more severe since its probability increased. ...doi:10.2478/v10175-010-0037-z fatcat:vkw2sx7zqzes7l33qzjrpm3lde
Spatial and temporal associations of intercity PM were mined using Apriori algorithm. Cross spatial and temporal associations of PM 10 and PM 2.5 were also mined. ... associations than in northern cities; 3) the strength of the spatial and temporal associations of intercity PM 2.5 are more substantial than those of intercity PM 10 . ... In addition, the highest lift among those 10 spatial-temporal rules indicates that the lift values do not monotonously decrease as the projection units values increase. ...doi:10.1016/j.atmosenv.2015.09.006 fatcat:wojbzmr54jg4lamcgz6p74pou4
Journal of Cognitive Neuroscience
Analysis of the ERP Data In the EEG data, the N400 response was judged to be the most negative peak between 300 and 600 msec after word onset. ... question was clearly visible), all the dipoles were introduced into a multi- dipole model, keeping their locations and orientations fixed while their strengths were allowed to vary to achieve optimal explanation ...
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