Raneem161/Al-Mamlaka-TV-Viewer-Analysis-for-Advertising-Placement
This project conducts a thorough analysis to determine optimal times for advertising on Al-Mamlaka, a public television broadcaster in Jordan. (⭐ 0)
bsnsing: A decision tree induction method based on recursive optimal boolean rule composit…
This paper proposes a new mixed-integer programming (MIP) formulation to optimize split rule selection in the decision tree induction process, and develops an efficient search algorithm that is able to solve practical instances of the MIP model faste...
Finding Optimal Flows Efficiently
Among the models of quantum computation, the One-way Quantum Computer is one of the most promising proposals of physical realization, and opens new perspectives for parallelization by taking advantage of quantum entanglement. Since a one-way quantu...
Social and Natural Sciences Differ in Their Research Strategies, Adapted to Work for Diffe…
Do different fields of knowledge require different research strategies? A numerical model exploring different virtual knowledge landscapes, revealed two diverging optimal search strategies. Trend following is maximized when the popularity of new disc...
Amazon.com.be, what's the purpose? : r/belgium - Reddit
Apr 19, 2023 · Amazon ships from all over Europe anyway according to what is most optimal for them, so why would you pay more for the exact same thing? For example in February I wanted to buy a few …
Find Tires Online by Season or Category | Michelin USA
Find Michelin tires for every season. Explore our selection of summer, winter, and all-season tires designed for optimal performance and safety, no matter the weather.
AGM-158 JASSM - Wikipedia
Research Laboratory nominated the JASSM-ER as the optimal air vehicle to carry the Counter-electronics High Power Microwave Advanced Missile Project (CHAMP) payload
Controlled Descent Training
In this work, a novel and model-based artificial neural network (ANN) training method is developed supported by optimal control theory. The method augments training labels in order to robustly guarantee training loss convergence and improve training...
Three Scores and 15 Years (1948-2023) of Rao's Score Test: A Brief History
Rao (1948) introduced the score test statistic as an alternative to the likelihood ratio and Wald test statistics. In spite of the optimality properties of the score statistic shown in Rao and Poti (1946), the Rao score (RS) test remained unnoticed f...
Low dimensional representation of multi-patient flow cytometry datasets using optimal tran…
Representing and quantifying Minimal Residual Disease (MRD) in Acute Myeloid Leukemia (AML), a type of cancer that affects the blood and bone marrow, is essential in the prognosis and follow-up of AML patients. As traditional cytological analysis can...
Proper decision trees: An axiomatic framework for solving optimal decision tree problems w…
We present an axiomatic framework for analyzing the algorithmic properties of decision trees. This framework supports the classification of decision tree problems through structural and ancestral constraints within a rigorous mathematical foundation....
Optimal designs for dose response curves with common parameters
A common problem in Phase II clinical trials is the comparison of dose response curves corresponding to different treatment groups. If the effect of the dose level is described by parametric regression models and the treatments differ in the administ...
Optimal installation of renewable electricity sources: the case of Italy
Starting from the model in Koch-Vargiolu (2019), we test the real impact of current renewable installed power in the electricity price in Italy, and assess how much the renewable installation strategy which was put in place in Italy deviated from the...
Optimally Installing Strict Equilibria
In this work, we develop a reward design framework for installing a desired behavior as a strict equilibrium across standard solution concepts: dominant strategy equilibrium, Nash equilibrium, correlated equilibrium, and coarse correlated equilibrium...
Semantic, Orthographic, and Phonological Biases in Humans' Wordle Gameplay
We show that human players' gameplay in the game of Wordle is influenced by the semantics, orthography, and phonology of the player's previous guesses. We compare actual human players' guesses with near-optimal guesses using NLP techniques. We study...
Effective Wordle Heuristics
While previous researchers have performed an exhaustive search to determine an optimal Wordle strategy, that computation is very time consuming and produced a strategy using words that are unfamiliar to most people. With Wordle solutions being gradua...
Algorithm for Finding Optimal Gene Sets in Microarray Prediction
Motivation: Microarray data has been recently been shown to be efficacious in distinguishing closely related cell types that often appear in the diagnosis of cancer. It is useful to determine the minimum number of genes needed to do such a diagnosi...
Modelling Gravity in N-Body Simulations of Disc Galaxies: Optimal Types of Softening for G…
Modelling gravity is a fundamental problem that must be tackled in N-body simulations of stellar systems, and satisfactory solutions require a deep understanding of the dynamical effects of softening. In a previous paper (Romeo 1997), we have devis...
Training-Based SWIPT: Optimal Power Splitting at the Receiver
We consider a point-to-point system with simultaneous wireless information and power transfer (SWIPT) over a block fading channel. Each transmission block consists of a training phase and a data transmission phase. Pilot symbols are transmitted durin...
The effect of prudence on the optimal allocation in possibilistic and mixed models
In this paper two portfolio choice models are studied: a purely possibilistic model, in which the return of a risky asset is a fuzzy number, and a mixed model in which a probabilistic background risk is added. For the two models an approximate formul...
Floor Plan By Lot Size Calculator - Uperplans
Dec 29, 2022 · This calculation is not merely about fitting rooms onto a piece of land; it is a sophisticated analysis incorporating various constraints and objectives to yield an optimal design.
Curving to fly: Synthetic adaptation unveils optimal flight performance of whirling fruits
Appendages of seeds, fruits and other diaspores (dispersal units) are essential for their wind dispersal, as they act as wings and enable them to fly. Whirling fruits generate an auto-gyrating motion from their sepals, a leaf like structure, which cu...
A new approach to proper orthogonal decomposition with difference quotients
In a recent work [B. Koc et al., arXiv:2010.03750, SIAM J. Numer. Anal., to appear], the authors showed that including difference quotients (DQs) is necessary in order to prove optimal pointwise in time error bounds for proper orthogonal decompositio...
A New Strategy of Cost-Free Learning in the Class Imbalance Problem
In this work, we define cost-free learning (CFL) formally in comparison with cost-sensitive learning (CSL). The main difference between them is that a CFL approach seeks optimal classification results without requiring any cost information, even in t...
Optimal Response to Burstable Billing under Demand Uncertainty
Burstable billing is widely adopted in practice, e.g., by colocation data center providers, to charge for their users, e.g., data centers, for data transferring. However, there is still a lack of research on what the best way is for a user to manage...
News and Press Releases - K" Line
“K” LINE, Yinson Production and Harbour Energy to jointly identify optimal development solutions for Havstjerne CO2 storage licence and work to increase maturity of solutions
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Commun…
We study the problem of estimating $k$-ary distributions under $\varepsilon$-local differential privacy. $n$ samples are distributed across users who send privatized versions of their sample to a central server. All previously known sample optimal al...
Test without Trust: Optimal Locally Private Distribution Testing
We study the problem of distribution testing when the samples can only be accessed using a locally differentially private mechanism and focus on two representative testing questions of identity (goodness-of-fit) and independence testing for discrete...
On choosing optimal response transformations for dimension reduction
It has previously been shown that response transformations can be very effective in improving dimension reduction outcomes for a continuous response. The choice of transformation used can make a big difference in the visualization of the response ver...
Choosing the optimal multi-point iterative method for the Colebrook flow friction equation…
The Colebrook equation $ζ$ is implicitly given in respect to the unknown flow friction factor $λ$; $λ=ζ(Re,ε^*,λ)$ which cannot be expressed explicitly in exact way without simplifications and use of approximate calculus. Common approach to sol...
Locally Optimal Design for A/B Testing in the Presence of Covariates and Network Connectio…
A/B test, a simple type of controlled experiment, refers to the statistical procedure of experimenting to compare two treatments applied to test subjects. For example, many IT companies frequently conduct A/B tests on their users who are connected an...
Stochastic Moving Anchor Algorithms and a Popov's Scheme with Moving Anchor
Since their introduction, anchoring methods in extragradient-type saddlepoint problems have inspired a flurry of research due to their ability to provide order-optimal rates of accelerated convergence in very general problem settings. Such guarantees...
Discrete minimax estimation with trees
We propose a simple recursive data-based partitioning scheme which produces piecewise-constant or piecewise-linear density estimates on intervals, and show how this scheme can determine the optimal $L_1$ minimax rate for some discrete nonparametric c...
Safety Representations for Safer Policy Learning
Reinforcement learning algorithms typically necessitate extensive exploration of the state space to find optimal policies. However, in safety-critical applications, the risks associated with such exploration can lead to catastrophic consequences. Exi...
Digitale dienstverlening - Embrace Cloud
Ontdek onze geavanceerde digitale dienstverlening bij Embrace Cloud. Optimaliseer uw processen met innovatieve cloudoplossingen en deskundig advies.
Retaining Suboptimal Actions to Follow Shifting Optima in Multi-Agent Reinforcement Learni…
Value decomposition is a core approach for cooperative multi-agent reinforcement learning (MARL). However, existing methods still rely on a single optimal action and struggle to adapt when the underlying value function shifts during training, often c...
Variational Optimization
We discuss a general technique that can be used to form a differentiable bound on the optima of non-differentiable or discrete objective functions. We form a unified description of these methods and consider under which circumstances the bound is con...
Question on Publius cu Caraval
Spoilers through all of Dark Age. So we see that Publius initiates a coup with supporters of the Vox Populi against the Optimates and the Sovereign Mustang. My question about this is, who might have p...
Mirror-Prox SCA Algorithm for Multicast Beamforming and Antenna Selection
This paper considers the (NP-)hard problem of joint multicast beamforming and antenna selection. Prior work has focused on using Semi-Definite relaxation (SDR) techniques in an attempt to obtain a high quality sub-optimal solution. However, SDR suffe...
Optimal Axes of Siberian Snakes for Polarized Proton Acceleration
Accelerating polarized proton beams and storing them for many turns can lead to a loss of polarization when accelerating through energies where a spin rotation frequency is in resonance with orbit oscillation frequencies. First-order resonance effe...