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peptide/protein structures complicated of a is with An self-assembly. of several example system aggregation levels
An example of a complicated aggregation system with several levels of structures is peptide/protein self-assembly.
3,700
used Euclidean measurement. is for similarity distance
Euclidean distance is used for similarity measurement.
3,701
be space. calculations But the carried a in out finite-dimensional can
But the calculations can be carried out in a finite-dimensional space.
3,702
linear paid penalties based operators. is attention Particular on to differential
Particular attention is paid to penalties based on linear differential operators.
3,703
In minimizer can sometimes calculate Green's functions. using the case, easily this explicitly, one
In this case, one can sometimes easily calculate the minimizer explicitly, using Green's functions.
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order is in In preserve enrollment to consistency. other consistent words, system mandatory
In other words, consistent enrollment is mandatory in order to preserve system consistency.
3,705
assumption that process obtain are branching rare, bursty we innovations the speciations. of a Under
Under the assumption that innovations are rare, we obtain a bursty branching process of speciations.
3,706
of rules determining and Lipophilicity are biological activities conformations of groups in functional interchangeably TCs.
Lipophilicity of functional groups and conformations interchangeably are determining rules in biological activities of TCs.
3,707
affects complication encephalopathy memory. and a attention is that Hepatic neurological
Hepatic encephalopathy is a neurological complication that affects attention and memory.
3,708
reversal in and were learning for tested rats water maze. Portacaval shunt Morris sham-operated the
Portacaval shunt and sham-operated rats were tested for reversal learning in the Morris water maze.
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for cytochrome were oxidase Brains histochemistry. processed
Brains were processed for cytochrome oxidase histochemistry.
3,710
learning capacity the of measure dimension algorithms. is generalization fundamental Vapnik-Chervonenkis of a (VC)
Vapnik-Chervonenkis (VC) dimension is a fundamental measure of the generalization capacity of learning algorithms.
3,711
hard analytically. from is impossible it or few to a apart calculate special However, cases,
However, apart from a few special cases, it is hard or impossible to calculate analytically.
3,712
in contexts, some voting In may the new of process. course candidates the show up
In voting contexts, some new candidates may show up in the course of the process.
3,713
for reason and our They research. clue main are
They are our clue and main reason for research.
3,714
their nature Here exposing investigate barriers we of process. and these mental features the
Here we investigate these barriers and their features exposing the nature of mental process.
3,715
special the structures start between We objects. from to define reflect ways relations which
We start from special structures which reflect the ways to define relations between objects.
3,716
be can mental a This dynamics. called
This can be called a mental dynamics.
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help can us be This to optimal. more
This can help us to be more optimal.
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use We algebra objects. and the relation invariant nature in stay abstract of to
We use abstract algebra and stay invariant in relation to the nature of objects.
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Facial years. recent Expression Classification in is problem research an interesting
Facial Expression Classification is an interesting research problem in recent years.
3,720
are There problem. methods a solve this lot to of
There are a lot of methods to solve this problem.
3,721
preprocessing of for we region facial detection Firstly, images. in Canny local use phase,
Firstly, in preprocessing phase, we use Canny for local region detection of facial images.
3,722
will (PCA). based features Component Analysis presented be Principal local Then region's on of each
Then each of local region's features will be presented based on Principal Component Analysis (PCA).
3,723
Expression Network Classification. Finally, for Artificial Neural using Facial (ANN)applies
Finally, using Artificial Neural Network (ANN)applies for Facial Expression Classification.
3,724
The shows of method. the feasibility our experimental result proposal
The experimental result shows the feasibility of our proposal method.
3,725
dense paper including main type Our this regularizations target in is \ellp-MKL.
Our main target in this paper is dense type regularizations including \ellp-MKL.
3,726
of performances compare us to of generalization types the enables various regularizations. This
This enables us to compare the generalization performances of various types of regularizations.
3,727
is as presented theory by the consistent with The known T.Y. outcome
The outcome is consistent with the known theory as presented by T.Y.
3,728
higher dimensions. M. and Herman in gives et.al and insights new Khachan
Herman and M. Khachan et.al and gives new insights in higher dimensions.
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given proposed the the data transform distances utilizes The between points.
The proposed transform utilizes the distances between the given data points.
3,730
have date studied IAMs as To of spaces. submanifolds Euclidean been embedded
To date IAMs have been studied as embedded submanifolds of Euclidean spaces.
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exact both mechanism can The is explain not that force-velocity known. yet curves
The exact mechanism that can explain both force-velocity curves is not yet known.
3,732
simulation a agent-based such an mechanism. carried to stochastic explore out We
We carried out an agent-based stochastic simulation to explore such a mechanism.
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to decay possibility membranes balance recurrent with and is excitation. of synapses One modes
One possibility is to balance decay modes of membranes and synapses with recurrent excitation.
3,734
well-studied the we motion For task. dot random discrimination focus on concreteness,
For concreteness, we focus on the well-studied random dot motion discrimination task.
3,735
robust leads mistuned. This to gains when performance becomes feedback integrators
This leads robust integrators to performance gains when feedback becomes mistuned.
3,736
evolving this area. our perspective on paper This presents
This paper presents our perspective on this evolving area.
3,737
have summarize results methods. We obtained that for been of these each the
We summarize the results that have been obtained for each of these methods.
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for given derived SDE ion kinetic explicitly the scheme. channel any We
We derived the SDE explicitly for any given ion channel kinetic scheme.
3,739
this the simulation demonstrated method of efficiency MC considerable over superiority Also, DA methods.
Also, the simulation efficiency of this DA method demonstrated considerable superiority over MC methods.
3,740
some do directly distances. determine to In proceed not clusters we directly cases, and the
In some cases, we proceed directly to clusters and do not directly determine the distances.
3,741
We precision offer of insights on also measurement. of implications practical data
We offer insights also on practical implications of precision of data measurement.
3,742
These are several well comply of with web defined processes. that composed services services
These services are composed of several web services that comply with well defined processes.
3,743
method Graph based Our is on Theory.
Our method is based on Graph Theory.
3,744
a the between graph. involved services through relationship the web We model semantic directed
We model the semantic relationship between the involved web services through a directed graph.
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related Then, creates SWDs. it a for sub-graph most the
Then, it creates a sub-graph for the most related SWDs.
3,746
algorithm. returns by authorities document using and the It hubs the these HITS Finally, of
Finally, It returns the hubs and authorities of these document by using the HITS algorithm.
3,747
classification We a consider binary standard problem.
We consider a standard binary classification problem.
3,748
its dependence We also parameters classification margin the study of problem. on
We also study its dependence on margin parameters of the classification problem.
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behaviour. demands agent's an Solomonoff external identify We characterizing by on Induction principles
We identify principles characterizing Solomonoff Induction by demands on an agent's external behaviour.
3,750
and consistency. Key indifference computability, time are concepts rationality,
Key concepts are rationality, computability, indifference and time consistency.
3,751
case full derive we the to extensions AIXI. Furthermore, AI to discuss
Furthermore, we discuss extensions to the full AI case to derive AIXI.
3,752
value can The mean but the is variance change. is second case when constant, the
The second case is when the mean value is constant, but the variance can change.
3,753
denoising. idea related variation This is to total closely
This idea is closely related to total variation denoising.
3,754
involved matrix and osteoclasts, resorbing are bone The cells producing osteoblasts mechanosensing bone osteocytes.
The cells involved are bone resorbing osteoclasts, bone matrix producing osteoblasts and mechanosensing osteocytes.
3,755
other. consists each toggle mutually genes repress of that two A switch
A toggle switch consists of two genes that mutually repress each other.
3,756
protein mRNA We high binding. monomeric numbers, and focus on abundance factor transcription low
We focus on low mRNA numbers, high protein abundance and monomeric transcription factor binding.
3,757
SGIM-D a on is evaluated skill learning experiment. fishing
SGIM-D is evaluated on a fishing skill learning experiment.
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proposed simulation of the algorithm. study the computational A shows behavior good
A simulation study shows the good computational behavior of the proposed algorithm.
3,759
a of data in application An the using on real illustrates MCA. rotation set interest
An application on a real data set illustrates the interest of using rotation in MCA.
3,760
package codes "PCAmixdata". in All source are R the available
All source codes are available in the R package "PCAmixdata".
3,761
accurate. regions, For approximation rectangular integration the is highly
For rectangular integration regions, the approximation is highly accurate.
3,762
case of also We the to more polyhedral integration the regions. general derivations extend
We also extend the derivations to the more general case of polyhedral integration regions.
3,763
yet studied and elucidate interesting non-obvious results an detail. not in of These feature EP
These results elucidate an interesting and non-obvious feature of EP not yet studied in detail.
3,764
costly. screening of consuming compound plants time be of and Pharmacology active medicinal would
Pharmacology screening of active compound of medicinal plants would be time consuming and costly.
3,765
for useful approaches dimension be can These reduction and selection. variable then
These approaches can then be useful for dimension reduction and variable selection.
3,766
specific of numerical for variables. have developed been Several clustering methods the
Several specific methods have been developed for the clustering of numerical variables.
3,767
The package developed ClustOfVar purpose. was this R for specifically
The R package ClustOfVar was specifically developed for this purpose.
3,768
with principal component obtained the method. synthetic PCAMIX is This the first variable
This synthetic variable is the first principal component obtained with the PCAMIX method.
3,769
suitable to clusters. also We numbers of determine in approach order propose a bootstrap
We also propose a bootstrap approach in order to determine suitable numbers of clusters.
3,770
associated and We methodologies the illustrate on small the package datasets.
We illustrate the methodologies and the associated package on small datasets.
3,771
the of the experiments, demonstrate Through we approach. usefulness proposed
Through experiments, we demonstrate the usefulness of the proposed approach.
3,772
material. The supporting simulations is for code used distributed our R computer as
The R code used for our computer simulations is distributed as supporting material.
3,773
the pool is feature objects. compute to A score used matching detected between two
A feature pool is used to compute the matching score between two detected objects.
3,774
A noisy trajectory remove trajectories. filter is proposed to
A trajectory filter is proposed to remove noisy trajectories.
3,775
component to inter-related. parts degree some are by that formed biological systems are Most
Most biological systems are formed by component parts that to some degree are inter-related.
3,776
We selection degrees ratio signal-to-noise on of consequences of modularity varying the reconstruction. and explore
We explore the consequences of varying degrees of modularity and signal-to-noise ratio on selection reconstruction.
3,777
selection our controlling improves gradients. In vastly for matrices simulations, reconstruction of noise the
In our simulations, controlling matrices for noise vastly improves the reconstruction of selection gradients.
3,778
counterintuitive the analysis unravels Mean-field astrocytes of mediate model that may effects.
Mean-field analysis of the model unravels that astrocytes may mediate counterintuitive effects.
3,779
explicit do are they neither reactions terms. cross-inhibition The contain enantiomeric autocatalytic nor
The reactions are neither autocatalytic nor do they contain explicit enantiomeric cross-inhibition terms.
3,780
a samples come into that from sites two fall number groupings. of These
These samples come from a number of sites that fall into two groupings.
3,781
types, from burials. derived samples burial The several kurgan including
The samples derived from several burial types, including kurgan burials.
3,782
dynamics We analyse terms metapopulation. in individual-based, of finite an metapopulation stochastic of model a
We analyse metapopulation dynamics in terms of an individual-based, stochastic model of a finite metapopulation.
3,783
brink focus the extinction. metapopulations on We on of
We focus on metapopulations on the brink of extinction.
3,784
to the estimate and extinction path describe likely extinction. the to time We most
We estimate the time to extinction and describe the most likely path to extinction.
3,785
Exact in intractable. slab regression linear spike model and inference priors often with the is
Exact inference in the linear regression model with spike and slab priors is often intractable.
3,786
inference. propagation be approximate can (EP) used for Expectation
Expectation propagation (EP) can be used for approximate inference.
3,787
As alternative, a convergent provably (PC-EP). algorithm EP we propose an
As an alternative, we propose a provably convergent EP algorithm (PC-EP).
3,788
when converges, similarly. By methods both contrast, perform R-EP
By contrast, when R-EP converges, both methods perform similarly.
3,789
of chaos also of the algorithm. We propagation properties marginal establish
We also establish marginal propagation of chaos properties of the algorithm.
3,790
high-dimensions is of SMC-based The discussed. schemes filtering some approximate accuracy also in
The accuracy in high-dimensions of some approximate SMC-based filtering schemes is also discussed.
3,791
make preprocessor agents and learning properties unsupervised a for IncSFA autonomous These generally useful robots.
These properties make IncSFA a generally useful unsupervised preprocessor for autonomous learning agents and robots.
3,792
fails. It where can handle SFA cases batch
It can handle cases where batch SFA fails.
3,793
Diffusion for in Catalysts and that are Channels are sense Enzymes.
Channels are Catalysts for Diffusion and in that sense are Enzymes.
3,794
useful idea interpretation experiments. the of This and for design is
This idea is useful for the design and interpretation of experiments.
3,795
popular approaches these for Graph-based problems. are tools
Graph-based approaches are popular tools for these problems.
3,796
an construction is graph-based of aspect learning. important Graph
Graph construction is an important aspect of graph-based learning.
3,797
then our justify analysis. method cut through theoretically limit We
We then theoretically justify our method through limit cut analysis.
3,798
available the singularity a transformation unique of solution be However, may matrix. of because not
However, a unique solution may not be available because of the singularity of transformation matrix.
3,799