[PDF] Top 20 Discovering patterns in high-dimensional extremes
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Discovering patterns in high-dimensional extremes
... applications, in particular in hydrology (flood risk). In a high dimensional context (d > 50), a natural first step is dimension ...for extremes, together with an algorithm ... Voir le document complet
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Discovering Patterns in Time-Varying Graphs: A Triclustering Approach
... structures in time varying ...study, in a way that does not require any hyper- parameter ...segmented in order to build clusters of source vertices, destination vertices and time segments where the ... Voir le document complet
28
Discovering linguistic patterns using sequence mining
... sequential patterns which aims at automatically discovering linguistic ...expressiveness in the discovered patterns by combining the different levels of word abstraction (word, lemma, ... Voir le document complet
13
Mining Multi-Dimensional and Multi-Level Sequential Patterns
... 1. INTRODUCTION Multi-dimensional databases have been studied for more than 10 years. They provide an easy-to-use interface for decision makers to navigate through their data. The modeling of such databases and ... Voir le document complet
36
Three-dimensional spatiotemporal focusing of holographic patterns
... light patterns without ...through high-NA objectives reported patterns spanning a limited (tens of microns) axial range 27,30,31 and used linear ...using high-NA ...the high-NA ... Voir le document complet
11
High-dimensional Learning for Extremes
... arise in the study of multivariate ...far in the literature are ...challenging in a high-dimensional ...10. In this context the use of learning techniques is computationally ... Voir le document complet
191
Computational and statistical challenges in high dimensional statistical models
... method in the noiseless case [DT10] and the Basis Pursuit Denoising Scheme in the noisy case [GZ17b] have been proven to fail to recover a binary 𝛽 * with 𝑛 = 𝑜(𝑘 log (︀ 𝑝 𝑘 )︀ ) ...described in ... Voir le document complet
301
Incremental bayesian network structure learning in high dimensional domains
... having high cardinality (“Barley ” and ...work in [16]. With respect to the high dimension of the search space, incremental algorithms can avoid being trapped in some local optima as could be ... Voir le document complet
8
Fast and secure similarity search in high dimensional space
... privacy in similarity search has become a hot topic in the field of information ...processing in the encrypted domain’: The encrypted similarity metric is computed from encrypted vectors, so that the ... Voir le document complet
7
High-dimensional approximate r-nets
... applications, in [HR15], they design an approximation scheme, which solves various distance optimization ...linear in n, but exponential in ...defined in Appendix ...linear in n which, ... Voir le document complet
21
Nonoptimality of constant radii in high dimensional continuum percolation
... volume. In the physical literature, it is strongly believed that, at least when d = 2 and d = 3, the critical covered volume is minimum in the case of a deterministic radius, that is when the distribution ... Voir le document complet
15
Discovering different patterns inside SubSaharan countries defining more homogeneous clusters to simulate specific trade policies
... increase in exports) can derive in very different consequences attending to the different economic structures within ...generalization in designing policies to reduce poverty as trade ... Voir le document complet
39
DORIS: Discovering Ontological Relations In Services
... nodes in the call results are usually vacuous and do not give away any ...semantics. In the example, they are just labeled “a”, “b”, and ...nodes in the call result correspond to entities in ... Voir le document complet
5
Discovering Implicit Schemas in JSON Data
... line in closeStop ...value in the waitingTime service, which may look like as an integer value until one call returns closest as a (string) ...names in name/value pairs from two calls may suggest ... Voir le document complet
16
Three-Dimensional Failure Patterns Around an Inflating Magmatic Chamber
... ure patterns depend on the geometry of the chamber, on the host rock strength and on the gravitational ...develop in 3 ...with in- creasing applied overpressure, either distributed (for zero friction ... Voir le document complet
47
Discovering Routers in Load-balanced Paths
... ondu ting alias resolution on IP interfa es dis overed.. via tra eroute and that are involved in load balan -.[r] ... Voir le document complet
3
Discovering schizophrenia endophenotypes in randomly ascertained pedigrees.
... work in other areas of medicine ...disruptions in gene networks on traits closely aligned to the illness ...individuals in order to maximize the potential that the proband has a genetic, rather than ... Voir le document complet
19
On high-dimensional representations of knot groups
... Let H ≤ G be a subgroup of finite index. Then the restriction of a representation ρ ∶ G → SL(n, C) to H will be denoted by res G H ρ or simply by ρ ∣ H if no confusion can arise. This restriction is compatible with the ... Voir le document complet
15
On the visualization of high-dimensional data
... distances in high-dimensional spaces is deemed with the empty space phenomenon, which may harm distance-based algorithms for data ...transforming high-dimensional numeric data for their ... Voir le document complet
14
Approximation of high-dimensional parametric PDEs
... u in the same ...convergence. In view of the results obtained in §3, a legitimate objective is to build adaptive algorithms that can be proven to converge at a rate that is comparable to that which ... Voir le document complet
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