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Algorithmes D_approximation

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24 documents available in our comprehensive collection of Algorithmes D_approximation resources. Find practical guides, tutorials, and documentation to enhance your knowledge.

Preview of Residual Algorithms
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Residual Algorithms (1995b.pdf)

249 KBEN 9 pages
Reinforcement learning algorithms guaranteed to converge with lookup tables can become unstable with function-approximation systems.
Preview of Randomized Approximation Algorithm for Task Scheduling with Start Time Options
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Randomized Approximation Algorithm for Task Scheduling with Start Time Options (2003 Nov 14 - Daya Gaur.pdf)

37 KBschacherEN 1 page
Document en en
Preview of Algorithmic Methods: Optimal Group Assignment, MAX-SAT Approximation, and Task Scheduling
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Algorithmic Methods: Optimal Group Assignment, MAX-SAT Approximation, and Task Scheduling (methods-exam19.pdf)

140 KBEN 1 page
**Question 1 (a):** Prove that an optimal solution exists where at most *n* groups have positive weights, ensuring each agent's demand is met. **Question 1 (b):** Describe a polynomial-time algorithm to find the optimal solution value without constructing the...
Preview of Furthest Neighbors Search
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Furthest Neighbors Search (2016fast.pdf)

414 KBEN 14 pages
The authors present a novel strategy for approximate furthest neighbor search, called DrusillaSelect, which selects a candidate set using the data...
Preview of Stochastic Planning Inference
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Stochastic Planning Inference (wu22a.pdf)

548 KBEN 12 pages
Stochastic planning is reduced to probabilistic inference in large discrete graphical models, requiring approximation schemes due to hardness of inference.
Preview of Data Broadcast Problem
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Data Broadcast Problem (KS03.pdf)

310 KB[email protected] Joe PickertEN 30 pages
The Data Broadcast Problem is to find an infinite schedule to broadcast messages, minimizing a linear combination of average service time and broadcast cost,...
Preview of Sequenzanalyse Algorithmen
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Sequenzanalyse Algorithmen (praesi_12.pdf)

77 KBDE 1 page
- Berechnung der q-gram-Distanz: O(σq + m + n), σ: Alphabetgröße, q: Länge des q-grams, m und n: Länge der Sequenzen - WOTD-Algorithmus: - Berechnung der...
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book6.dvi (ch6.pdf)

274 KBEN 39 pages
Document en en
Preview of POMDP Vector Pruning
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POMDP Vector Pruning (509_main_paper.pdf)

393 KBEN 10 pages
Improved vector pruning enhances exact algorithms for solving POMDPs. It reduces linear program size by limiting variables and constraints. This increases scalability in dynamic programming algorithms.
Preview of "A fast algorithm for the multiplication of generalized Hilbert matrices with vectors"
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"A fast algorithm for the multiplication of generalized Hilbert matrices with vectors" (S0025-5718-1988-0917825-9.pdf)

930 KBEN 10 pages
A fast algorithm with a time complexity of O(n(logn)^2) is presented for the multiplication of generalized Hilbert matrices with vectors.
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this (focs07.pdf)

253 KBEN 9 pages
Researchers prove that three NP-hard problems - Sparsest Cut, Optimal Linear Arrangement, and precedence constrained scheduling problem 1|prec| P wjCj - have...
Preview of https://proceedings.neurips.cc/paper/2020/file/0a5052334511e344f15ae0bfafd47a67-Paper.pdf
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https://proceedings.neurips.cc/paper/2020/file/0a5052334511e344f15ae0bfafd47a67-Paper.pdf (0a5052334511e344f15ae0bfafd47a67-Paper.pdf)

1.19 MBEN 11 pages
Researchers propose a spectral clustering algorithm for directed graphs, introducing a complex-valued representation of the graph Laplacian matrix to capture...
Preview of Full text
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Full text (vuxuanha2002b.pdf)

242 KBEN 18 pages
Researchers propose approximation techniques for non-linear numerical constraint satisfaction problems (NCSPs) with a continuum of solutions, allowing for...
Preview of Hypergrid Integration
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Hypergrid Integration (177_main_paper.pdf)

1.32 MBSoumyabrataEN 10 pages
High-dimensional discrete integration is approximated using random hashes. This method reduces the problem into separate discrete optimization problems, solvable by NP-oracles like SAT solvers. It achieves a 16-approximation for {0, 1}n domains.
Preview of Automated Planning: Landmarks and Heuristics
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Automated Planning: Landmarks and Heuristics (ai38-handout4.pdf)

149 KBMalte HelmertEN 6 pages
Automated planning focuses on generating sequences of actions to achieve a goal, utilizing landmarks—key elements required in every solution—to estimate solution costs based on unachieved landmarks. This chapter introduces delete relaxation, abstraction, and landmark heuristics...
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.
Preview of 1-Bit Compressed Sensing
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1-Bit Compressed Sensing (221_main_paper.pdf)

563 KBEN 10 pages
One-bit compressed sensing estimates a sparse signal from binary measurements. A novel analysis guarantees a simple algorithm's accuracy under the 2-metric with high probability. One-step hard thresholding solves the non-convex program efficiently.
Preview of Double Q-learning
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Double Q-learning (3964-double-q-learning.pdf)

190 KBHado V. HasseltEN 9 pages
Double Q-learning addresses Q-learning's poor performance in stochastic environments due to large overestimations of action values, caused by using the maximum...
Preview of Télécharger le fichier
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Télécharger le fichier (EurasipSubmitted.pdf)

2.18 MBLaurent Clavier, Gareth W Peters, François Septier, Ido NevatEN 22 pages
Impulsive noise has a significant impact on communication systems, and the Gaussian approximation is often inadequate.
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.
Preview of https://doi.org/10.46620/21-0068
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https://doi.org/10.46620/21-0068 (RSL21-0068-final.pdf)

307 KBEN 4 pages
This article presents a processing chain for multitarget tracking in an indoor scenario using a Texas Instruments IWR6843 radar development kit.
Preview of Blind source separation using block-coordinate relative Newton method
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Blind source separation using block-coordinate relative Newton method (BroBroZibSIGPRO04.pdf)

1.57 MBAdministratorEN 21 pages
Blind source separation using block-coordinate relative Newton method is presented, generalizing the relative Newton method for quasi-maximum likelihood blind...
Preview of Liste de mes publications et thèmes de recherche
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Liste de mes publications et thèmes de recherche (cv10.pdf)

190 KBFR 17 pages
Raphaël Girou est maître de conférences à l'Université de Montpellier depuis 2002.
Preview of Monte Carlo Derivative Pricing with Partial Info in Marked DSPP
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Monte Carlo Derivative Pricing with Partial Info in Marked DSPP (IJTAF-744-r-paper.pdf)

629 KBEN 35 pages
This working paper explores Monte Carlo derivative pricing in a class of doubly stochastic Poisson processes with marks, considering partial information.

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