532 research outputs found
A systematic comparison of supervised classifiers
Pattern recognition techniques have been employed in a myriad of industrial,
medical, commercial and academic applications. To tackle such a diversity of
data, many techniques have been devised. However, despite the long tradition of
pattern recognition research, there is no technique that yields the best
classification in all scenarios. Therefore, the consideration of as many as
possible techniques presents itself as an fundamental practice in applications
aiming at high accuracy. Typical works comparing methods either emphasize the
performance of a given algorithm in validation tests or systematically compare
various algorithms, assuming that the practical use of these methods is done by
experts. In many occasions, however, researchers have to deal with their
practical classification tasks without an in-depth knowledge about the
underlying mechanisms behind parameters. Actually, the adequate choice of
classifiers and parameters alike in such practical circumstances constitutes a
long-standing problem and is the subject of the current paper. We carried out a
study on the performance of nine well-known classifiers implemented by the Weka
framework and compared the dependence of the accuracy with their configuration
parameter configurations. The analysis of performance with default parameters
revealed that the k-nearest neighbors method exceeds by a large margin the
other methods when high dimensional datasets are considered. When other
configuration of parameters were allowed, we found that it is possible to
improve the quality of SVM in more than 20% even if parameters are set
randomly. Taken together, the investigation conducted in this paper suggests
that, apart from the SVM implementation, Weka's default configuration of
parameters provides an performance close the one achieved with the optimal
configuration
Determining the Surface-To-Bulk Progression in the Normal-State Electronic Structure of Sr2RuO4 by Angle-Resolved Photoemission and Density Functional Theory
In search of the potential realization of novel normal-state phases on the
surface of Sr2RuO4 - those stemming from either topological bulk properties or
the interplay between spin-orbit coupling (SO) and the broken symmetry of the
surface - we revisit the electronic structure of the top-most layers by ARPES
with improved data quality as well as ab-initio LDA slab calculations. We find
that the current model of a single surface layer (\surd2x\surd2)R45{\deg}
reconstruction does not explain all detected features. The observed
depth-dependent signal degradation, together with the close quantitative
agreement with LDA+SO slab calculations based on the LEED-determined surface
crystal structure, reveal that (at a minimum) the sub-surface layer also
undergoes a similar although weaker reconstruction. This points to a
surface-to-bulk progression of the electronic states driven by structural
instabilities, with no evidence for Dirac and Rashba-type states or surface
magnetism.Comment: 4 pages, 4 figures, 1 table. Further information and PDF available
at: http://www.phas.ubc.ca/~quantmat/ARPES/PUBLICATIONS/articles.htm
Na2IrO3 as a spin-orbit-assisted antiferromagnetic insulator with a 340 meV gap
We study Na2IrO3 by ARPES, optics, and band structure calculations in the
local-density approximation (LDA). The weak dispersion of the Ir 5d-t2g
manifold highlights the importance of structural distortions and spin-orbit
coupling (SO) in driving the system closer to a Mott transition. We detect an
insulating gap {\Delta}_gap = 340 meV which, at variance with a Slater-type
description, is already open at 300 K and does not show significant temperature
dependence even across T_N ~ 15 K. An LDA analysis with the inclusion of SO and
Coulomb repulsion U reveals that, while the prodromes of an underlying
insulating state are already found in LDA+SO, the correct gap magnitude can
only be reproduced by LDA+SO+U, with U = 3 eV. This establishes Na2IrO3 as a
novel type of Mott-like correlated insulator in which Coulomb and relativistic
effects have to be treated on an equal footing.Comment: Accepted in Physical Review Letters. Auxiliary and related material
can be found at:
http://www.phas.ubc.ca/~quantmat/ARPES/PUBLICATIONS/articles.htm
Rashba spin-splitting control at the surface of the topological insulator Bi2Se3
The electronic structure of Bi2Se3 is studied by angle-resolved photoemission
and density functional theory. We show that the instability of the surface
electronic properties, observed even in ultra-high-vacuum conditions, can be
overcome via in-situ potassium deposition. In addition to accurately setting
the carrier concentration, new Rashba-like spin-polarized states are induced,
with a tunable, reversible, and highly stable spin splitting. Ab-initio slab
calculations reveal that these Rashba state are derived from the 5QL
quantum-well states. While the K-induced potential gradient enhances the spin
splitting, this might be already present for pristine surfaces due to the
symmetry breaking of the vacuum-solid interface.Comment: A high-resolution version can be found at
http://www.physics.ubc.ca/~quantmat/ARPES/PUBLICATIONS/Articles/BiSe_K.pd
Accuracy of genomic prediction for tick resistance in Braford and Hereford cattle.
This work aimed to determine the accuracy and bias of genomic predictions of Braford (BO) and Hereford (HH) cattle genetic resistance to ticks
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