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Algorithme Invariants

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18 documents available in our comprehensive collection of Algorithme Invariants resources. Find practical guides, tutorials, and documentation to enhance your knowledge.

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Download (1MB) (jgra51224.pdf)

1.21 MBSolène LejosneEN 12 pages
An algorithm for approximating the L* invariant coordinate from the real-time tracing of one magnetic field line between mirror points is introduced, allowing...
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Preview of **Invariants and Mutexes in Planning and Optimization**
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**Invariants and Mutexes in Planning and Optimization** (po-e02-handout4.pdf)

176 KBMalte Helmert and Gabriele RögerEN 7 pages
It explores how humans inherently utilize invariants to plan tasks and provides examples to illustrate this principle
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PDF (LIPIcs.ICDT.2016.4.pdf)

442 KBEN 12 pages
David P. Woodruff presents new algorithms for finding heavy hitters in data streams, improving upon classical solutions.
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Preview of Nonconvex Optimization Bounds
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Nonconvex Optimization Bounds (32_main_paper.pdf)

283 KBEN 10 pages
Stochastic gradient-based optimization algorithms use early stopping based on a validation function. The stopping rule terminates when the gradient norm falls below a threshold. Bounds are derived for expected iterations and gradient evaluations.
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Preview of Random Bits Generation
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Random Bits Generation (etr102.pdf)

314 KBEN 15 pages
The problem of generating random bits from a correlated random source, specifically a finite Markov chain, is addressed.
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Preview of Computation of Essential Molecular Dynamics by Subdivision Techniques I: Basic Concept
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Computation of Essential Molecular Dynamics by Subdivision Techniques I: Basic Concept (SC-96-45.pdf)

5.19 MBEN 34 pages
It is a Konrad-Zuse-Fellow preprint from the Mathematisches Institut, Universität Bayreuth (1996).
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这里 (ijcv04.pdf)

444 KBEN 28 pages
The features are invariant to image scale and rotation, and provide robust matching across a range of affine distortion, change in 3D viewpoint, addition of...
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Preview of Supplementary Note in Wasik et al. 2021
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Supplementary Note in Wasik et al. 2021 (12864_2021_7508_MOESM1_ESM.pdf)

121 KBEN 3 pages
This note describes the imputation algorithm for low-pass sequencing data in loimpute v0.18, based on the copying model by Li and Stephens (2003).
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Preview of teaching:2013winter:773pnas-2012-murugan-16161-6-appendix.pdf
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teaching:2013winter:773pnas-2012-murugan-16161-6-appendix.pdf (773pnas-2012-murugan-16161-6-appendix.pdf)

1.12 MBEN 19 pages
Statistical inference of T-cell receptor diversity generation from sequence repertoires requires accurate knowledge of V, D, and J-gene sequences and their...
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PDF (nissim-et-al-ijcai2011.pdf)

291 KBEN 8 pages
Researchers address the issue of deriving admissible heuristics automatically in optimal planning, focusing on Merge-and-Shrink abstraction (M&S), which can...
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Preview of Tree-Based Models Outperform Deep Learning
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Tree-Based Models Outperform Deep Learning (2207.08815.pdf)

25.21 MBEN 33 pages
Tree-based models outperform deep learning on tabular data, with extensive benchmarks showing their superiority on 45 datasets, even without accounting for...
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paper (nsdi23-alomar.pdf)

2.82 MBEN 34 pages
CausalSim is a causal framework for unbiased trace-driven simulation, addressing the challenge of biased real-world traces that assume interventions won't...
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Preview of Deep Learning Density Functionals
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Deep Learning Density Functionals (MWS_MAR16-2015-008347.pdf)

16 KBEN 1 page
Density-functional theory is a formally exact description of a many-body quantum system in terms of its density; approximations to the universal density...
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Preview of ASICs and Decentralization: Proof-of-Work FAQ
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ASICs and Decentralization: Proof-of-Work FAQ (asic-faq.pdf)

147 KBEN 8 pages
It discourages alterations to the proof-of-work algorithm, emphasizing its lack of innovative potential. The main goal is to clarify and counter misconceptions surrounding this core Bitcoin component.
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Preview of Rank Aggregation
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Rank Aggregation (249_main_paper.pdf)

1.64 MBEN 10 pages
Spectral methods rank items using scarce pairwise preferences and additional feature information. This approach modifies RankCentrality to incorporate few comparisons and extra features. It outperforms state-of-the-art methods in practice.
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Preview of LARS Algorithm
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LARS Algorithm (lars.pdf)

342 KBEN 44 pages
Least Angle Regression (LARS) is a new model selection algorithm and a less greedy version of traditional forward selection methods.
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Preview of The Extended Linear Complementarity Problem and Its Applications in Max-Plus Algebra
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The Extended Linear Complementarity Problem and Its Applications in Max-Plus Algebra (95_61.pdf)

374 KBEN 19 pages
This technical report by K.U.Leuven's Department of Electrical Engineering explores the Extended Linear Complementarity Problem (ELCP) and its applications within the max-plus algebra, offering insights into their research and survey of this area.
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Preview of Dynamic Topic Modeling
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Dynamic Topic Modeling (365_main_paper.pdf)

1.23 MBEN 10 pages
Dynamic Correlated Topic Models use stochastic variational inference to capture topic correlation and word co-occurrence evolution over time. Gaussian processes (GPs) enable modeling of temporal changes in topic correlations. This identifies shifts in topic relationships.
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