text stringlengths 27 153 | label stringlengths 27 153 | id int64 0 40k |
|---|---|---|
then structure. in treated analysis genetic were Data separately a of Bayesian | Data were then treated separately in a Bayesian analysis of genetic structure. | 7,600 |
to three probability species By achieved. species inferred membership high groups using loci, discriminant was | By using three species discriminant loci, high membership probability to inferred species groups was achieved. | 7,601 |
identification species of an molecular provided is Thus, and effective tool provenances. for both | Thus, an effective tool is provided for molecular identification of both species and provenances. | 7,602 |
genome selection, species Species discriminant identity. directional represent might affected which by maintains loci regions | Species discriminant loci might represent genome regions affected by directional selection, which maintains species identity. | 7,603 |
are Stack of special non-linear a filters case filters. | Stack filters are a special case of non-linear filters. | 7,604 |
binary function, then filter. which a characterizes image the is Each Boolean by filtered | Each binary image is then filtered by a Boolean function, which characterizes the filter. | 7,605 |
Classification. system stage, of three comprises stages: Preprocessing The Feature and proposed Extraction | The proposed system comprises of three stages: Preprocessing stage, Feature Extraction and Classification. | 7,606 |
filtering, skin stage matching. Preprocessing includes histogram | Preprocessing stage includes skin filtering, histogram matching. | 7,607 |
walks problems in source of the are very (SAW) Self-avoiding enumerative and combinatorics. difficult probabilities | Self-avoiding walks (SAW) are the source of very difficult problems in probabilities and enumerative combinatorics. | 7,608 |
(un)folded presented article. of is self-avoiding first this study A in walks | A first study of (un)folded self-avoiding walks is presented in this article. | 7,609 |
of survey about contribution The known is majorly sets. currently is these what a | The contribution is majorly a survey of what is currently known about these sets. | 7,610 |
we obtained, first and have results sets. the theoretically these computationally, on or | and the first results we have obtained, theoretically or computationally, on these sets. | 7,611 |
and temperature, emotional ambient intake. state, alcohol | emotional state, ambient temperature, and alcohol intake. | 7,612 |
addresses which novel a describe challenges. these method We | We describe a novel method which addresses these challenges. | 7,613 |
which This (AAM) follows appearance warping is by achieved affine active fitting. model piecewise | This is achieved by piecewise affine warping which follows active appearance model (AAM) fitting. | 7,614 |
representation both pose changes. scale robust much and This makes proposed more the to | This makes the proposed representation much more robust both to pose and scale changes. | 7,615 |
shape method propose of detect curves. We a and new in to visualize outliers samples | We propose a new method to visualize and detect shape outliers in samples of curves. | 7,616 |
reinforcement computationally Optimal learning approach infeasible. probabilistic in is | Optimal probabilistic approach in reinforcement learning is computationally infeasible. | 7,617 |
and temperature, intake. ambient alcohol emotional state, | emotional state, ambient temperature, and alcohol intake. | 7,618 |
method this these challenges. we novel which addresses a major paper In describe | In this paper we describe a novel method which addresses these major challenges. | 7,619 |
achieved by affine AAM follows warping which fitting. This is piecewise | This is achieved by piecewise affine warping which follows AAM fitting. | 7,620 |
distance camera). subject varying due a the of from to the | due to the varying distance of a subject from the camera). | 7,621 |
lengths. evolution We with of different consider birth-and-death stochastic genotypes | We consider birth-and-death stochastic evolution of genotypes with different lengths. | 7,622 |
effect. to death and The are length selection which rates corresponds birth dependent a | The birth and death rates are length dependent which corresponds to a selection effect. | 7,623 |
study genotypes. an of We an for of a asymptotic collection infinite behavior density | We study an asymptotic behavior of a density for an infinite collection of genotypes. | 7,624 |
and considered. are of homogeneous heterogeneous space cases space The densities | The cases of space homogeneous and space heterogeneous densities are considered. | 7,625 |
two-dimensional extend quantitatively expansions. Our to results and qualitatively | Our results extend qualitatively and quantitatively to two-dimensional expansions. | 7,626 |
to universal, induction known Solomonoff but be is incomputable. | Solomonoff induction is known to be universal, but incomputable. | 7,627 |
bounds which rationality Therefore flexibly-bounded within the is exercised. expands rationality | Therefore flexibly-bounded rationality expands the bounds within which rationality is exercised. | 7,628 |
the properties dynamic Here we formulate histone patterns. model mathematical a of investigate to modification | Here we formulate a mathematical model to investigate the dynamic properties of histone modification patterns. | 7,629 |
should for considered be parts data of clustering? which First, | First, which parts of data should be considered for clustering? | 7,630 |
clustering for Second, suitable method what is de-noising? data | Second, what data clustering method is suitable for de-noising? | 7,631 |
to dictionary. is learn an over exploited complete Clustering | Clustering is exploited to learn an over complete dictionary. | 7,632 |
a heritage is quantified evolutionary diversity of by The phylogenetic biodiversity frequently (PD). measure called | The evolutionary heritage of biodiversity is frequently quantified by a measure called phylogenetic diversity (PD). | 7,633 |
in for flexibility these three-dimensional the motions is How intrinsic structures? their encoded required | How is the intrinsic flexibility required for these motions encoded in their three-dimensional structures? | 7,634 |
be determinant accessibility solvent of local flexibility. is primary residue a local Finally, shown to | Finally, local solvent accessibility is shown to be a primary determinant of local residue flexibility. | 7,635 |
objects, actors,and simple does compositions the How human of brain represent actions? | How does the human brain represent simple compositions of objects, actors,and actions? | 7,636 |
viewed again scanning the while ), during sequence (fMRI). action subjects | ), again while subjects viewed the action sequence during scanning (fMRI). | 7,637 |
the and systems, TPJ, i.e. 'where' and 'what' | the 'what' and 'where' systems, and TPJ, i.e. | 7,638 |
of evidence interspecific crossings progeny are that provides Analysis rare. arrays | Analysis of progeny arrays provides evidence that interspecific crossings are rare. | 7,639 |
chloroplast introgression finding is limited This of supported further genomes. by | This finding is further supported by limited introgression of chloroplast genomes. | 7,640 |
might this account phenology, post-zygotic incompatibilities) asynchronous for result. | asynchronous phenology, post-zygotic incompatibilities) might account for this result. | 7,641 |
morphologically. species observed studied has Hybridization already been between the and two | Hybridization between the two species has already been observed and studied morphologically. | 7,642 |
of genetic evidence little exists about extent However, the introgression. | However, little evidence exists about the extent of genetic introgression. | 7,643 |
were of used microsatellites a analysis DNA genetic barriers. for Chloroplast spatial | Chloroplast DNA microsatellites were used for a spatial analysis of genetic barriers. | 7,644 |
main explained the variation genetic groups. species partition was part by The into of nuclear | The main part of the nuclear genetic variation was explained by partition into species groups. | 7,645 |
funnels. and landscapes repeats with multiple embedded related fundamentally structural Similarly, mosaics to be may | Similarly, repeats and structural mosaics may be fundamentally related to landscapes with multiple embedded funnels. | 7,646 |
structural protein molecules. and repetitions to detect Here in tools compare present we analytical | Here we present analytical tools to detect and compare structural repetitions in protein molecules. | 7,647 |
recognize different propose to gestures. Hence hand approach an we easy | Hence we propose an easy approach to recognize different hand gestures. | 7,648 |
to algorithm mean a adapt the field. Therefore, the we fluctuations Gillespie also around reproduce | Therefore, we also adapt a Gillespie algorithm to reproduce the fluctuations around the mean field. | 7,649 |
characterize The stochastic scheme exploited is model. DE the to | The DE scheme is exploited to characterize the stochastic model. | 7,650 |
a any much more allows detailed our the of case, description model fights. In | In any case, our model allows a much more detailed description of the fights. | 7,651 |
is celebrated known Auto-Regression. as problem This a | This is a celebrated problem known as Auto-Regression. | 7,652 |
speech simple done estimation simulations and on Two have spectrum coding. been | Two simple simulations have been done on spectrum estimation and speech coding. | 7,653 |
for up ground rapid data set corresponding truth. acquisition of allows annotation and Our with | Our set up allows for rapid acquisition and annotation of data with corresponding ground truth. | 7,654 |
algorithm proposed The are detail. properties and evaluated the discrimination in of robustness | The robustness and discrimination properties of the proposed algorithm are evaluated in detail. | 7,655 |
this as embodied matrix In Decomposition. by Value invariants spectral we use paper, Singular | In this paper, we use spectral matrix invariants as embodied by Singular Value Decomposition. | 7,656 |
well-suited hardware. are All current computer to | All are well-suited to current computer hardware. | 7,657 |
are a hardware with performance including software comparison different the Empirical configurations. of presented, results | Empirical results are presented, including a performance comparison of the software with different hardware configurations. | 7,658 |
features SPM exceptional task. on car distance achieve for the performance MDS The recognition based | The MDS features based on SPM distance achieve exceptional performance for the car recognition task. | 7,659 |
operator. estimation blur Consequently, non-uniform the requires a of successful spatially-varying blind or deconvolution | Consequently, successful blind deconvolution requires the estimation of a spatially-varying or non-uniform blur operator. | 7,660 |
a free. parameter virtually is can that algorithm using implemented The be strategy majorization-minimization | The algorithm can be implemented using a majorization-minimization strategy that is virtually parameter free. | 7,661 |
real theoretical proposed and images the serve validation to method. Detailed empirical analysis validate on | Detailed theoretical analysis and empirical validation on real images serve to validate the proposed method. | 7,662 |
only association the in edges pairwise However, statistics depend fields of on natural scenes. | However, association fields only depend on the pairwise statistics of edges in natural scenes. | 7,663 |
embedding reveals analysis spectral a An using probabilistic components. curvature-dependent | An analysis using a probabilistic spectral embedding reveals curvature-dependent components. | 7,664 |
that the of) show we divergence and (half equivalent are beta statistical measures. deviance Further, | Further, we show that beta divergence and (half of) the statistical deviance are equivalent measures. | 7,665 |
open of bases still However, largely a rule is evolution handling problem. the | However, handling the evolution of rule bases is still a largely open problem. | 7,666 |
symmetry with robust We consider covariance constraints. estimation group | We consider robust covariance estimation with group symmetry constraints. | 7,667 |
sets of examples structures. such proper include: and complex/quaternion Practical circulant, persymmetric | Practical examples of such sets include: circulant, persymmetric and complex/quaternion proper structures. | 7,668 |
Bayesian a only estimation. However, few papers considered | However, only a few papers considered Bayesian estimation. | 7,669 |
article the intelligence". This an of is theory overview of "SP | This article is an overview of the "SP theory of intelligence". | 7,670 |
"multiple of a alignment" central is The idea. concept powerful | The concept of "multiple alignment" is a powerful central idea. | 7,671 |
probabilities calculated. multiple be alignment, each may For | For each multiple alignment, probabilities may be calculated. | 7,672 |
the of These for calculating provide probabilities the basis inferences. | These provide the basis for calculating the probabilities of inferences. | 7,673 |
partial from patterns. matches new learns between The structures system | The system learns new structures from partial matches between patterns. | 7,674 |
viewpoint on focussing Wide-baseline change extreme is considered. matching with problems | Wide-baseline matching focussing on problems with extreme viewpoint change is considered. | 7,675 |
actions. of with different a classify dataset couple dozens Currently only most systems | Currently most systems only classify dataset with a couple of dozens different actions. | 7,676 |
extraction computational from often is complex. Moreover, data the feature | Moreover, feature extraction from the data is often computational complex. | 7,677 |
Often questions based these reasoning. require simulation | Often these questions require simulation based reasoning. | 7,678 |
higher colored we constructs a tokens. As result, level need like | As a result, we need higher level constructs like colored tokens. | 7,679 |
to Our modeling approach can domains with other be needs. similar adapted | Our approach can be adapted to other domains with similar modeling needs. | 7,680 |
covariance events define tiger An brown prawns. used at of to analysis was fishing targeted | An analysis of covariance was used to define fishing events targeted at brown tiger prawns. | 7,681 |
variations fishing general A linear estimated of model power. inter-annual | A general linear model estimated inter-annual variations of fishing power. | 7,682 |
effort recent in were this fishery The fishing causes of in discussed. decline | The causes of recent decline in fishing effort in this fishery were discussed. | 7,683 |
It and the itself structures inferential lends knowledge processes. visualisation to of | It lends itself to the visualisation of knowledge structures and inferential processes. | 7,684 |
to this experiment declarative the problem. encourage readers approaches also We different with to | We also encourage the readers to experiment with different declarative approaches to this problem. | 7,685 |
computational is the most Protein one of in problems structure biology. prediction important | Protein structure prediction is one of the most important problems in computational biology. | 7,686 |
composite non-directional model We sensory on search a developed of cues. based | We developed a model of composite search based on non-directional sensory cues. | 7,687 |
method efficient the about be At will last concluding we i.e. | At last we will be concluding about the efficient method i.e. | 7,688 |
methods. performance compared gives that better the the to other method | the method that gives better performance compared to the other methods. | 7,689 |
within SMC algorithms use Such dynamics. the algorithms transition afore-mentioned the | Such algorithms use the afore-mentioned SMC algorithms within the transition dynamics. | 7,690 |
part the can In reasoning. through knowledge many of recover missing cases one | In many cases one can recover part of the missing knowledge through reasoning. | 7,691 |
then the discuss answering and how this We respect with implication to of why questions. | We then discuss the implication of this with respect to answering why and how questions. | 7,692 |
They hunt not rarely protein. do and of rich sources encounter consequently | They rarely hunt and consequently do not encounter rich sources of protein. | 7,693 |
they Instead carbohydrates. to adapted primarily have of diet a | Instead they have adapted to a diet of primarily carbohydrates. | 7,694 |
till advancements present paper presents those art of This the day. state areas in | This paper presents state of the art advancements in those areas till present day. | 7,695 |
this Our comparison superior that dataset. produced of systems method to on results | Our method produced results superior to that of comparison systems on this dataset. | 7,696 |
threading allows An individual for sequences. of extension subtrees of instead | An extension allows for threading of subtrees instead of individual sequences. | 7,697 |
these called methods program in a have We computer ARGweaver. implemented | We have implemented these methods in a computer program called ARGweaver. | 7,698 |
to reducing Constraint powerful is (CP) Nogood approach a in learning Programming search solvers. | Nogood learning is a powerful approach to reducing search in Constraint Programming (CP) solvers. | 7,699 |
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