Results 11 to 20 of about 477 (109)
Data Structures for Density Estimation [PDF]
International Conference on Machine Learning, 2023 We study statistical/computational tradeoffs for the following density estimation problem: given $k$ distributions $v_1, \ldots, v_k$ over a discrete domain of size $n$, and sampling access to a distribution $p$, identify $v_i$ that is"close"to $p$.
Anders Aamand +5 more
semanticscholar +1 more source
Automated Dynamic Bayesian Networks for Predicting Acute Kidney Injury Before Onset [PDF]
arXiv.org, 2023 Several algorithms for learning the structure of dynamic Bayesian networks (DBNs) require an a priori ordering of variables, which influences the determined graph topology. However, it is often unclear how to determine this order if feature importance is
David L. Gordon +6 more
semanticscholar +1 more source
BioThings Explorer: a query engine for a federated knowledge graph of biomedical APIs [PDF]
arXiv.org, 2023 Knowledge graphs are an increasingly common data structure for representing biomedical information. These knowledge graphs can easily represent heterogeneous types of information, and many algorithms and tools exist for querying and analyzing graphs ...
J. Callaghan +13 more
semanticscholar +2 more sources
Algorithms and Data Structures for Multi-Adaptive Time-Stepping [PDF]
TOMS, 2008 Multi-adaptive Galerkin methods are extensions of the standard continuous and discontinuous Galerkin methods for the numerical solution of initial value problems for ordinary or partial differential equations.
J. Jansson, A. Logg
semanticscholar +1 more source
Earth System Science Data, 2023 . Deep learning (DL) algorithms have shown incredible potential in many applications. The success of these data-hungry methods is largely associated with the availability of large-scale datasets, as millions of observations are often required to achieve ...
M. R. Asif +4 more
semanticscholar +1 more source
, 2023 This paper presents a novel hybrid structural health monitoring (SHM) framework for damage detection in bridges using numerical and experimental data. The framework is based on the hybrid SHM approach and combines the use of a calibrated numerical finite
B. T. Svendsen +3 more
semanticscholar +1 more source
Applications of Topological Data Analysis in Oncology
Frontiers in Artificial Intelligence, 2021 The emergence of the information age in the last few decades brought with it an explosion of biomedical data. But with great power comes great responsibility: there is now a pressing need for new data analysis algorithms to be developed to make sense of ...
Anuraag Bukkuri, N. Andor, I. Darcy
semanticscholar +1 more source
Around the root of random multidimensional quadtrees [PDF]
Discrete Mathematics & Theoretical Computer Science, 2006 We analyse the distribution of the root pattern of randomly grown multidimensional point quadtrees. In particular, exact, recursive and asymptotic formulas are given for the expected arity of the root.
Gilbert Labelle +2 more
doaj +1 more source
Optimal Prefix and Suffix Queries on Texts [PDF]
Discrete Mathematics & Theoretical Computer Science, 2007 In this paper, we study a restricted version of the position restricted pattern matching problem introduced and studied by Mäkinen and Navarro [Position-Restricted Substring Searching, LATIN 2006].
Maxime Crochemore +2 more
doaj +1 more source
Some exactly solvable models of urn process theory [PDF]
Discrete Mathematics & Theoretical Computer Science, 2006 We establish a fundamental isomorphism between discrete-time balanced urn processes and certain ordinary differential systems, which are nonlinear, autonomous, and of a simple monomial form.
Philippe Flajolet +2 more
doaj +1 more source