Multiple points of a random field
نویسندگان
چکیده
منابع مشابه
Random Field effects in field-driven quantum critical points
We investigate the role of disorder for field-driven quantum phase transitions of metallic antiferromagnets. For systems with sufficiently low symmetry, the combination of a uniform external field and non-magnetic impurities leads effectively to a random magnetic field which strongly modifies the behavior close to the critical point. Using perturbative renormalization group, we investigate in w...
متن کاملA Conditional Random Field for Multiple-Instance Learning
We present MI-CRF, a conditional random field (CRF) model for multiple instance learning (MIL). MI-CRF models bags as nodes in a CRF with instances as their states. It combines discriminative unary instance classifiers and pairwise dissimilarity measures. We show that both forces improve the classification performance. Unlike other approaches, MI-CRF considers all bags jointly during training a...
متن کاملPossible line of critical points for a random field Ising model in dimension 2
2014 We study a particular random field Ising model in dimension 2 at 0 temperature. On each site the random field is either + ~ with probability p/2, ~ with probability p/2 or 0 with probability 1 2014 p. Using finite size scaling arguments, we show that for small p, the average correlation function between two spins at distance R decreases like R-~(p) where the exponent ~(p) = 2 03C0p + O(p2)...
متن کاملRandom points in halfspheres
A random spherical polytope Pn in a spherically convex set K ⊂ S as considered here is the spherical convex hull of n independent, uniformly distributed random points in K. The behaviour of Pn for a spherically convex set K contained in an open halfsphere is quite similar to that of a similarly generated random convex polytope in a Euclidean space, but the case when K is a halfsphere is differe...
متن کاملNonparametric Estimation of Spatial Risk for a Mean Nonstationary Random Field}
The common methods for spatial risk estimation are investigated for a stationary random field. Because of simplifying, lets distribution is known, and parametric variogram for the random field are considered. In this paper, we study a nonparametric spatial method for spatial risk. In this method, we model the random field trend by a local linear estimator, and through bias-corrected residuals, ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the American Mathematical Society
سال: 1984
ISSN: 0002-9939
DOI: 10.1090/s0002-9939-1984-0754721-2