works on

From the 1 of 2.6k papers with an AI index.

output
20022026
most citedObservation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC

10.9k citations

Showing 2013Show all

21 papers · 1 filter

stat.AP20132 cited

Structured Functional Principal Component Analysis

Haochang Shou, Vadim Zipunnikov, Ciprian M. Crainiceanu +1

Motivated by modern observational studies, we introduce a class of functional models that expands nested and crossed designs. These models account for the natural inheritance of co…

astro-ph.CO201315 cited

Photometric Redshifts and Systematic Variations in the SEDs of Luminous Red Galaxies from the SDSS DR7

Natascha Greisel, Stella Seitz, Niv Drory +3

We describe the construction of a template set of spectral energy distributions (SEDs) for the estimation of photometric redshifts of luminous red galaxies (LRGs) with a Bayesian t…

hep-th20133 cited

Vacuum Varieties, Holomorphic Bundles and Complex Structure Stabilization in Heterotic Theories

Lara B. Anderson, James Gray, Andre Lukas +1

We discuss the use of gauge fields to stabilize complex structure moduli in Calabi-Yau three-fold compactifications of heterotic string and M-theory. The requirement that the gauge…

q-bio.PE201391 cited

Coexistence and Survival in Conservative Lotka-Volterra Networks

Johannes Knebel, Torben Krüger, Markus F. Weber +1

Analyzing coexistence and survival scenarios of Lotka-Volterra (LV) networks in which the total biomass is conserved is of vital importance for the characterization of long-term dy…

cs.AI2013

Completing Knowledge by Competing Hierarchies

Kerstin Schill, Ernst Poppel, Christoph Zetzsche

A control strategy for expert systems is presented which is based on Shafer's Belief theory and the combination rule of Dempster. In contrast to well known strategies it is not seq…

stat.ME20133 cited

Penalized Likelihood and Bayesian Function Selection in Regression Models

Fabian Scheipl, Thomas Kneib, Ludwig Fahrmeir

Challenging research in various fields has driven a wide range of methodological advances in variable selection for regression models with high-dimensional predictors. In compariso…