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problems. the and to relate this discuss in paper We methods open we work, previous
We relate the methods in this paper to previous work, and we discuss open problems.
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PULCinella and comparing theories. its use uncertainty We in present
We present PULCinella and its use in comparing uncertainty theories.
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Pulcinella define his allows Moreover, user specializations. easily to own the
Moreover, Pulcinella allows the user to easily define his own specializations.
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using illustrate analyze four examples two To Pulcinella, above. by of theories we each the
To illustrate Pulcinella, we analyze two examples by using each of the four theories above.
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In between differences focus on one, theories. intrinsic mainly first we the
In the first one, we mainly focus on intrinsic differences between theories.
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is current approach. art tree propagation the clique of state The
The current state of art is the clique tree propagation approach.
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direct in marginalization. The is each simply computation clique
The computation in each clique is simply direct marginalization.
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of estimates often unavoidable mechanical design uncertainty design, performance. is in In there
In mechanical design, there is often unavoidable uncertainty in estimates of design performance.
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Evaluation requires alternatives of consideration of impact design of the this uncertainty.
Evaluation of design alternatives requires consideration of the impact of this uncertainty.
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method automobile in system for the selection for illustrate material We bumpers. a
We illustrate the method in a system for material selection for automobile bumpers.
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set a distributions. result of probability normalized non-necessarily is The it of convex
The result of it is a convex set of non-necessarily normalized probability distributions.
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the Sugeno will methods be based of and use These on Choquet integrals.
These methods will be based on the use of Sugeno and Choquet integrals.
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examples. compared in be basis selected to some will behaviour Their
Their behaviour will be compared in basis to some selected examples.
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possibility in first show and assignments. formation We uncertainty of to for how measures define
We first show how to define measures of in formation and uncertainty for possibility assignments.
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allows the notion the in information content among us to capture proximity It of distributions.
It allows us to capture the notion of proximity in information content among the distributions.
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discuss for maximum a possibility we of distributions. principle last the section uncertainty In
In the last section we discuss a principle of maximum uncertainty for possibility distributions.
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how as be We an such rule. inference a principle formalized show could
We show how such a principle could be formalized as an inference rule.
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logic theory. has control consequences and correspondence far This reaching in in
This correspondence has far reaching consequences in logic and in control theory.
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Our a is presentation terse self-contained, albeit as summary. intended
Our presentation is intended as a self-contained, albeit terse summary.
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not we Proofs only included; are examples. illustrative offer
Proofs are not included; we only offer illustrative examples.
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illustrative several forms of a example. updating, practical with of Survey
Survey of several forms of updating, with a practical illustrative example.
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single is operation rule. and subtle single no is no method, a Updating there 'good'
Updating is a subtle operation and there is no single method, no single 'good' rule.
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The due consideration. given the always appropriate of must choice be rule
The choice of the appropriate rule must always be given due consideration.
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practical We the on of focus rules. meaning these
We focus on the practical meaning of these rules.
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system. for presented semantics, the results consistency are and consequence Approximations,
Approximations, semantics, consistency and consequence results are presented for the system.
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are searching designs widely algorithms optimal saturated for Efficient for available.
Efficient algorithms for searching for optimal saturated designs are widely available.
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(such efficiency provide a measure maximize They as given an and D-optimality) design. optimum
They maximize a given efficiency measure (such as D-optimality) and provide an optimum design.
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do design. not a optimal they Nevertheless, guarantee \emph{global}
Nevertheless, they do not guarantee a \emph{global} optimal design.
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design. local random a an from optimal Indeed, start initial design and find they
Indeed, they start from an initial random design and find a local optimal design.
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general, the will, optimum If be in found the is different. design changed initial
If the initial design is changed the optimum found will, in general, be different.
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developed. tool SAS A software been has in written
A software tool written in SAS has been developed.
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outline acids. hydroxylated) potential the We fatty to modified (e.g., extensions calculations also of
We also outline potential extensions of the calculations to modified (e.g., hydroxylated) fatty acids.
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Edges heavy determination for detection, information classification. structural and carry
Edges carry heavy structural information for detection, determination and classification.
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a of center interpolation approaches focus. become Edge-adaptive
Edge-adaptive interpolation approaches become a center of focus.
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evaluates robustness ability. the edge-preservation accuracy measures of One and other
One evaluates accuracy and the other measures robustness of edge-preservation ability.
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evaluation six parameters. is based Performance on
Performance evaluation is based on six parameters.
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applied including a mathematics. and applications, in variety econometrics of models wide appear statistical Such
Such statistical models appear in a wide variety of applications, including econometrics and applied mathematics.
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(ABC). approximate introduce We new approximation upon Bayesian computation a based
We introduce a new approximation based upon approximate Bayesian computation (ABC).
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of life understanding fundamental on Speciation the diversity huge of is importance Earth. to
Speciation is of fundamental importance to understanding the huge diversity of life on Earth.
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used this dynamic The aim. is method for programming
The dynamic programming method is used for this aim.
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Proposed system characteristic variance decrease estimators. method a to of allows
Proposed method allows to decrease a variance of system characteristic estimators.
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Methodologies Matlab entropy variations. implemented in were enhanced with and were
Methodologies were implemented in Matlab and were enhanced with entropy variations.
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Red cell-Hb-CSF The response functions Hb adapting sensor equilibriums. a heterotropic to as
The Red cell-Hb-CSF functions as a sensor adapting response to Hb heterotropic equilibriums.
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Hence, etc., changes in pKa, sliding, concatenated vectoriality. n-H-bonds, became state, for could dipole
Hence, changes in dipole state, sliding, pKa, n-H-bonds, etc., could became concatenated for vectoriality.
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on has A architecture implemented the already part a humanoid robot. been of
A part of the architecture has already been implemented on a humanoid robot.
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of globally modulated this method. The focuses STDP, use-case as special a on study
The study focuses on globally modulated STDP, as a special use-case of this method.
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processor to by wafer. embedding dedicated is Flexibility general-purpose the plasticity achieved a into
Flexibility is achieved by embedding a general-purpose processor dedicated to plasticity into the wafer.
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i.e. This model its simulated is to measure performance,
This model is simulated to measure its performance, i.e.
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learning. the reward increase received after in
the increase in received reward after learning.
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the latency reward processor. embedded This with which sent is increases to delay, the the
This latency increases the delay, with which the reward is sent to the embedded processor.
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We to that a accelerated find has for latency highly kept systems be to minimum.
We find that for highly accelerated systems latency has to be kept to a minimum.
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tested data. independently compared and with two subsystem models The are
The two subsystem models are tested independently and compared with data.
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sensing for widely are urban techniques land classification and analysis. Remote cover used
Remote sensing techniques are widely used for land cover classification and urban analysis.
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introduced. object-based paper a on hierarchical this vector is In machine based classification scheme support
In this paper object-based classification scheme based on a hierarchical support vector machine is introduced.
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methods has been methodology statistical compared with measures. Developed using different contemporary
Developed methodology has been compared with contemporary methods using different statistical measures.
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CNN with Investigations considerable over the revealed satellite achieved was images success various that approach.
Investigations over various satellite images revealed that considerable success was achieved with the CNN approach.
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the and study fuzzy We bipolar of soft set properties. notion fundamental introduce
We introduce the notion of bipolar fuzzy soft set and study fundamental properties.
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operations fuzzy set. soft study on bipolar basic We
We study basic operations on bipolar fuzzy soft set.
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bipolar exdended intersection define fuzzy of soft set. We union, two
We define exdended union, intersection of two bipolar fuzzy soft set.
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application problem. fuzzy making give an We set soft into also decision of bipolar
We also give an application of bipolar fuzzy soft set into decision making problem.
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The has decade. past connectome the been studied over human widely
The human connectome has been widely studied over the past decade.
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methodologically. may This limited however, result, be
This result, however, may be limited methodologically.
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are settings presented this and and clearly results obtained experimental explained Detailed in report.
Detailed experimental settings and obtained results are clearly presented and explained in this report.
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competing proposed explain hypotheses Several occurrence. been have its to
Several competing hypotheses have been proposed to explain its occurrence.
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TSR. contrast suggests is single mechanism the for accounts that there no that This
This contrast suggests that there is no single mechanism that accounts for the TSR.
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varies grid scale axis entorhinal along cortex. The of the dorso-ventral the
The grid scale varies along the dorso-ventral axis of the entorhinal cortex.
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recognition. case called machine handwriting work same does The is in the
The same work in case the machine does is called handwriting recognition.
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down broken on-line. and Handwriting can recognition categories: two into be off-line
Handwriting recognition can be broken down into two categories: off-line and on-line.
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possible. mixtures all of Arbitrary also are three cases
Arbitrary mixtures of all three cases are also possible.
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assumptions results But, the estimation violated. actually if are could distorted some be
But, the estimation results could be distorted if some assumptions actually are violated.
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effectiveness data and the imaging We data. brain using our artificial of method simulated demonstrate
We demonstrate the effectiveness of our method using artificial data and simulated brain imaging data.
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Numerical presented of examples ABC are HMMs. approximations for
Numerical examples are presented for ABC approximations of HMMs.
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penalized approximations then used approximate log-likelihood. the are minimize These to
These approximations are then used to minimize the approximate penalized log-likelihood.
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matrices. efficiency relies memory For the the implementation use sparse time of crucially and on
For time and memory efficiency the implementation relies crucially on the use of sparse matrices.
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R ppstat. available the package The implementation is in
The implementation is available in the R package ppstat.
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image A implementation non-local denoising filtering is of multiscale means new proposed. for
A new multiscale implementation of non-local means filtering for image denoising is proposed.
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comparison. a The modification also introduces of patch proposed for similarity measure algorithm
The proposed algorithm also introduces a modification of similarity measure for patch comparison.
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Euclidean comparison. for norm The patch norm Euclidean standard replaced by is weighted based
The standard Euclidean norm is replaced by weighted Euclidean norm for patch based comparison.
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problems. assumptions by are These real satisfied most not unfortunately
These assumptions are unfortunately not satisfied by most real problems.
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A for procedure distributions inference uncertainty is interval presented. marginal maximum
A maximum uncertainty inference procedure for marginal interval distributions is presented.
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This domain of financial the is integration in illustrated mergers acquisitions. and
This integration is illustrated in the financial domain of mergers and acquisitions.
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ideas system MARS. prototype implemented have in called a been These
These ideas have been implemented in a prototype system called MARS.
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these relatively required to operator sophisticated Both of make judgments. meteorological the systems
Both of these systems required the operator to make relatively sophisticated meteorological judgments.
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address encouraged participants potential the to above. at author Interested contact the are
Interested potential participants are encouraged to contact the author at the address above.
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are with statistical in for belief data on considerations functions detail. dealt Methodological using some
Methodological considerations for using belief functions on statistical data are dealt with in some detail.
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derived. aid used a conditions as an aid which Some decision are is under best
Some conditions under which a decision aid is best used as an aid are derived.
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diseases. for diagnosis multiple a the of We model examine probabilistic
We examine a probabilistic model for the diagnosis of multiple diseases.
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the model, variables. findings In diseases as and binary are represented
In the model, diseases and findings are represented as binary variables.
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inference introduce a bounded called graceful to We approach probabilistic conditioning.
We introduce a graceful approach to probabilistic inference called bounded conditioning.
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claims wrong. both are that It is argued
It is argued that both claims are wrong.
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toward Non- aid. The such Monotonic Probabilist an initial represents work
The Non- Monotonic Probabilist represents initial work toward such an aid.
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of transformation are fastest the These Mobius (O). transformations' computing 'fast the algorithms for Mobius
These 'fast Mobius transformations' are the fastest algorithms for computing the Mobius transformation of (O).
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taxonomic that an theory abductive probabilistic, We and propose integrates causal diagnosis knowledge.
We propose an abductive diagnosis theory that integrates probabilistic, causal and taxonomic knowledge.
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all scenario where These are observations events constitute causation a true. the
These causation events constitute a scenario where all the observations are true.
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is inherently reasoning is allowed. modest Abductive if power only expressive complex even
Abductive reasoning is inherently complex even if only modest expressive power is allowed.
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The on basic approximate sample an based representation algorithm the probabilities. of is
The algorithm is based on an approximate sample representation of the basic probabilities.
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specific measurement probability distributions. included be using functions may Dempster-Shafer mass
Dempster-Shafer probability mass functions may be included using specific measurement distributions.
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numerical The by are properties experiments. the of approach demonstrated
The properties of the approach are demonstrated by numerical experiments.
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is the connected. singly can be Savings not original network computational in when complexity large
Savings in computational complexity can be large when the original network is not singly connected.
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We subgraph computationally network. define Bayesian of a equivalent a
We define a computationally equivalent subgraph of a Bayesian network.
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