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Ensembl 2014
2013
Nucleic Acids Research
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Ensembl (http://www.ensembl.org) creates tools and data resources to facilitate genomic analysis in chordate species with an emphasis on human, major vertebrate model organisms and farm animals. ...
All fully supported species are accessible via the Ensembl BioMart, the Ensembl APIs and web displays. ...
Ensembl annotations All Ensembl annotations whether gene, variation or regulation, are based on integration of relevant data sources. ...
doi:10.1093/nar/gkt1196
pmid:24316576
pmcid:PMC3964975
fatcat:knxp7akjtnbvnm7hlxajhvnzra
Ergodicity of the Airy line ensemble
[article]
2014
arXiv
pre-print
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In this paper, we establish the ergodicity of the Airy line ensemble. ...
This shows that it is the only candidate for Conjecture 3.2 in [3], regarding the classification of ergodic line ensembles satisfying a certain Brownian Gibbs property after a parabolic shift. ...
The Airy line ensemble and the Brownian Gibbs property In order to define the Airy line ensemble we first introduce the concept of a line ensemble and the Brownian Gibbs line ensembles. ...
arXiv:1405.0464v2
fatcat:yhe4yfxhebcs5plmukmkrwuhpm
Indexing by Latent Dirichlet Allocation and Ensemble Model
[article]
2014
arXiv
pre-print
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Second, we propose an Ensemble Model (EnM) for document retrieval. ...
Wei, Li, & Liu, 2010) is also a recently proposed ensemble model; however, it can only combine two rankers. Our contribution is divided in two parts in this paper. ...
Ensemble model An EnM linearly combining indexing models is studied in this section. Different weights assigned to these constituent models may result in distinct results. ...
arXiv:1309.3421v6
fatcat:cebavj6g35bivop4nnpjcur55i
Arguments for Nested Patterns in Neural Ensembles
[article]
2014
arXiv
pre-print
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Ensemble span (a) Ensemble span (b)
Testing and Results Testing of the theory can be carried out by implementing some basic reinforcement algorithms and updating specific node values, to simulate the ...
This also means however that they would not all send DCS 29 April 2014 7 inhibitory signals back. ...
arXiv:1403.6274v2
fatcat:3qtlfojsvresneyagkjldkgjue
Thermodynamic curvature and ensemble nonequivalence
2014
Physical Review D
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2012 pre-print arXiv:1208.0399v2 fatcat:3kvpmus4yrhf5bkg6ny5vc6pjiOther Versions
geometries defined as Hessians of different potentials and derive some useful formulae that show their complementary role in the description of thermodynamic systems with two degrees of freedom that show ensemble ...
results we are able to prove on a general footing a conjecture first formulated by Liu, L\"u, Luo and Shao stating that different Hessian metrics can correspond to different behaviors in the various ensembles ...
doi:10.1103/physrevd.90.044064
fatcat:77n4klxlf5d6tjqsad72grjbx4
Gap Universality of Generalized Wigner and beta-Ensembles
[article]
2014
arXiv
pre-print
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We consider generalized Wigner ensembles and general beta-ensembles with analytic potentials for any beta larger than 1. ...
results in particular assert that the local averages of consecutive eigenvalue gaps in the bulk of the spectrum are universal in the sense that they coincide with those of the corresponding Gaussian beta-ensembles ...
Main results We will have two related results, one concerns the generalized Wigner ensembles, the other one the general β-ensembles. We first define the generalized Wigner ensembles. ...
arXiv:1211.3786v5
fatcat:d5nvzrw3w5bjpfaqydxddo23a4
Quark ensembles with infinite correlation length
[article]
2014
arXiv
pre-print
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color interacting quark ensemble. ...
By studying quark ensembles with infinite correlation length we formulate the quantum field theory model that, as we show, is exactly integrable and develops an instability of its standard vacuum ensemble ...
INTRODUCTION Investigating quark ensembles with an infinite correlation length looks, from the view point of fundamental strong interactions existing between ensemble elements, like a purely academic task ...
arXiv:1406.5561v2
fatcat:4ofzatnf3rfvtd3lq3kjsr2l3m
Quasi-power law ensembles
[article]
2014
arXiv
pre-print
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Quasi-power law ensembles are discussed from the perspective of nonextensive Tsallis distributions characterized by a nonextensive parameter q. ...
We have two type of averages here:X means average value in a given event whereas < X > denotes averages over events (or ensembles).
Notice that in Eq. (45) n = m0. ...
Introduction The two most characteristic ensembles is, on one side, the one resulting in exponential (Boltzmann-Gibbs -(BG)) distributions, f E (X) ∼ exp(−X/T ), and, on the other side, the one with power ...
arXiv:1501.01936v1
fatcat:wirwzndxtbhhnpyamjmu47bvte
Interpreting Tree Ensembles with inTrees
[article]
2014
arXiv
pre-print
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Tree ensembles such as random forests and boosted trees are accurate but difficult to understand, debug and deploy. ...
An rule-based learner, referred to as the simplified tree ensemble learner (STEL), can also be formed and used for future prediction. ...
Firstly, build a tree ensemble for a regression problem, and extract rule conditions from the tree ensemble. ...
arXiv:1408.5456v1
fatcat:elth2pmbr5d5fle7tssqj6jdka
Exact fluctuation theorem without ensemble quantities
2014
Physical Review E
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Evaluating the entropy production (EP) along a stochastic trajectory requires the knowledge of the system probability distribution, an ensemble quantity notoriously difficult to measure. ...
As a result, EP satisfies the involution i s[m|λ] = − i s[m|λ] under time reversal, which directly implies the FT [21, 33, 34]
-3755/2014/89(5)/052119(5) 052119-1 ©2014 American Physical Society ...
Since these probabilities are ensemble quantities evaluated at the trajectory level, their experimental measurement has been possible only for systems with very few degrees of freedom [10, 12, 29, 30] ...
doi:10.1103/physreve.89.052119
pmid:25353751
fatcat:gsztvmm6lre3xmhof7ubav7mai
Simple Deep Random Model Ensemble
[article]
2014
arXiv
pre-print
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2013 pre-print arXiv:1305.1019v1 fatcat:dr6pjbqmtnh2fksnlxkhaqy44y
ensemble. ...
(ii) Based on the above two views, we propose a very simple deep learning algorithm, named deep random model ensemble (DRME). It is a stack of random model ensembles. ...
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arXiv:1305.1019v2
fatcat:hipa6ds5ibb3beyy4wgv4z4ami
Limit operators for circular ensembles
[article]
2014
arXiv
pre-print
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Similarly, the limiting spectral behavior of a large class of random hermitian and unitary ensembles, including the Gaussian Unitary Ensemble (GUE, with independent, complex gaussians above the diagonal ...
Since the spectrum of H 0 should also correspond to the limiting behavior of many ensembles of hermitian and unitary matrices, it is natural to expect that these ensembles can, in one way and another, ...
Further questions A natural question which can be asked is whether one could construct a similar flow of operators for other ensembles of random matrices. ...
arXiv:1304.3757v2
fatcat:nahvj6rgwjggzgk3tf3v4kleuy
Generic Subclass Ensemble: A Novel Approach to Ensemble Classification
2014
2014 22nd International Conference on Pattern Recognition
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The ensemble classifiers are then fused using a combination rule. ...
In this paper, we propose a new general approach to ensemble classification, named generic subclass ensemble, in which each base classifier is trained with data belonging to a subset of classes, and thus ...
, and RSM ensemble methods cannot continue to further improve with larger ensemble sizes. ...
doi:10.1109/icpr.2014.225
dblp:conf/icpr/BagheriGE14
fatcat:wv6kngbwevcenj2svcdz3fmjhm
Ensemble estimation of multivariate f-divergence
2014
2014 IEEE International Symposium on Information Theory
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2014 pre-print arXiv:1404.6230v1 fatcat:c4gjcvkbcreq5d2nkujtq7new4Other Versions
Then by applying the theory of optimally weighted ensemble estimation, we derive a divergence estimator with a convergence rate of O(1/T) that is simple to implement and performs well in high dimensions ...
This weighted ensemble divergence estimator also performs well for densities with unbounded support. ...
We then applied the theory of optimally weighted ensemble estimation to obtain an estimator with a convergence rate of O 1 T . ...
doi:10.1109/isit.2014.6874854
dblp:conf/isit/MoonH14
fatcat:mfxtjwguwrcyvdxlv2igdaaqzy
Semicircle law for a matrix ensemble with dependent entries
[article]
2014
arXiv
pre-print
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We study ensembles of random symmetric matrices whose entries exhibit certain correlations. Examples are distributions of Curie-Weiss-type. ...
We also investigate the largest eigenvalue of certain ensembles of Curie-Weiss type and find a transition in its behavior at the critical temperature. ...
Then we call the random matrix ensemble X N (i, j) a generalized (P N α F N 2 )-Curie-Weiss ensemble.
Remark 30 The full Curie-Weiss ensemble is a P N 2 F β N 2 -ensemble. ...
arXiv:1401.6636v3
fatcat:xid4devrpbbwnlhorxebn4ts7a
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