Tootfinder

This https://arxiv.org/abs/2401.01508 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Practical Guidelines for the Selection and Evaluation of Natural Language Processing Techniques in Requirements Engineering
[Context and Motivation] Natural Language Processing (NLP) is now a cornerstone of requirements automation. One compelling factor behind the growing adoption of NLP in Requirements Engineering (RE) is the prevalent use of natural language (NL) for specifying requirements in industry. NLP techniques are commonly used for automatically classifying requirements, extracting important information, e.g., domain models and glossary terms, and performing quality assurance tasks, such as ambiguity handl…

Neuroevolving Electronic Dynamical Networks
Derek Whitley
https://arxiv.org/abs/2404.04587 https://arxiv.org/pdf/2404.04587

Neuroevolving Electronic Dynamical Networks
Neuroevolution is a powerful method of applying an evolutionary algorithm to refine the performance of artificial neural networks through natural selection; however, the fitness evaluation of these networks can be time-consuming and computationally expensive, particularly for continuous time recurrent neural networks (CTRNNs) that necessitate the simulation of differential equations. To overcome this challenge, field programmable gate arrays (FPGAs) have emerged as an increasingly popular solut…

Stuart Stevens on Twitter: "It cost $91,000 a year to attend @gwlaw to be taught by someone who actually wrote a piece about natural selection. I will grant @JonathanTurley the benefit of the doubt that he is about to be charged with some heinous crime and is preparing an insanity defense, but otherwise,…"
https://…

Stuart Stevens (@stuartpstevens) on X
It cost $91,000 a year to attend @gwlaw to be taught by someone who actually wrote a piece about natural selection. I will grant @JonathanTurley the benefit of the doubt that he is about to be charged with some heinous crime and is preparing an insanity defense, but otherwise,…

A First Look at Selection Bias in Preference Elicitation for Recommendation
Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke
https://arxiv.org/abs/2405.00554

A First Look at Selection Bias in Preference Elicitation for Recommendation
Preference elicitation explicitly asks users what kind of recommendations they would like to receive. It is a popular technique for conversational recommender systems to deal with cold-starts. Previous work has studied selection bias in implicit feedback, e.g., clicks, and in some forms of explicit feedback, i.e., ratings on items. Despite the fact that the extreme sparsity of preference elicitation interactions make them severely more prone to selection bias than natural interactions, the effe…

Impact of phylogeny on the inference of functional sectors from protein sequence data
Nicola Dietler, Alia Abbara, Subham Choudhury, Anne-Florence Bitbol
https://arxiv.org/abs/2405.04920

Impact of phylogeny on the inference of functional sectors from protein sequence data
Statistical analysis of multiple sequence alignments of homologous proteins has revealed groups of coevolving amino acids called sectors. These groups of amino-acid sites feature collective correlations in their amino-acid usage, and they are associated to functional properties. Modeling showed that natural selection on an additive functional trait of a protein is generically expected to give rise to a functional sector. These modeling results motivated a principled method, called ICOD, which i…

This https://arxiv.org/abs/2305.12382 has been replaced.
initial toot: https://mastoxiv.page/@a…

Multi-lipid synergy in synovial lubrication: natural redundancy vs. natural selection
The very low sliding friction of articular cartilage in the major synovial joints such as hips and knees is crucial for their well-being, and has been attributed to lubrication by phospholipid boundary layers. While single-component lipid layers have demonstrated efficient lubricity in model studies, in living joints there is a large number of different lipids, raising the question of whether this is natural redundancy, or whether this multiplicity confers any benefits. Here we examine lubricat…

Group COMBSS: Group Selection via Continuous Optimization
Anant Mathur, Sarat Moka, Benoit Liquet, Zdravko Botev
https://arxiv.org/abs/2404.13339 https://<…

Group COMBSS: Group Selection via Continuous Optimization
We present a new optimization method for the group selection problem in linear regression. In this problem, predictors are assumed to have a natural group structure and the goal is to select a small set of groups that best fits the response. The incorporation of group structure in a predictor matrix is a key factor in obtaining better estimators and identifying associations between response and predictors. Such a discrete constrained problem is well-known to be hard, particularly in high-dimens…

Online Foundation Model Selection in Robotics
Po-han Li, Oyku Selin Toprak, Aditya Narayanan, Ufuk Topcu, Sandeep Chinchali
https://arxiv.org/abs/2402.08570

Online Foundation Model Selection in Robotics
Foundation models have recently expanded into robotics after excelling in computer vision and natural language processing. The models are accessible in two ways: open-source or paid, closed-source options. Users with access to both face a problem when deciding between effective yet costly closed-source models and free but less powerful open-source alternatives. We call it the model selection problem. Existing supervised-learning methods are impractical due to the high cost of collecting extensi…

Cowboys Find Intriguing Talent in Marshawn Kneeland https://www.yardbarker.com/nfl/articles/cowboys_find_intriguing_talent_in_marshawn_kneeland/s1_17394_40290181

Cowboys Find Intriguing Talent in Marshawn Kneeland
In the 2024 NFL Draft, the Dallas Cowboys made a strategic move, selecting Marshawn Kneeland from Western Michigan as the 56th overall pick. Despite the initial surprise of bypassing higher-ranked prospects, this selection aligns with the team’s long-term vision, particularly with veteran Demarcus Lawrence nearing his 32nd birthday. Kneeland’s standout performance at Mobile caught the attention of evaluators, showcasing his natural strength and mass as a strong-side rush prospect. Transitio…

This https://arxiv.org/abs/2005.01867 has been replaced.
link: https://scholar.google.com/scholar?q=a

Removable Online Knapsack and Advice
In the knapsack problem, we are given a knapsack of some capacity and a set of items, each with a size and a value. The goal is to pack a selection of these items fitting the knapsack that maximizes the total value. The online version of this problem reveals the items one by one. For each item, the algorithm must decide immediately whether to pack it or not. We consider a natural variant of this problem, coined removable online knapsack. It differs from the classical variant by allowing the rem…

This https://arxiv.org/abs/2305.12382 has been replaced.
initial toot: https://mastoxiv.page/@a…

Multi-lipid synergy in synovial lubrication: natural redundancy vs. natural selection
The very low sliding friction of articular cartilage in the major synovial joints such as hips and knees is crucial for their well-being, and has been attributed to lubrication by phospholipid boundary layers. While single-component lipid layers have demonstrated efficient lubricity in model studies, in living joints there is a large number of different lipids, raising the question of whether this is natural redundancy, or whether this multiplicity confers any benefits. Here we examine lubricat…

Design principles, growth laws, and competition of minimal autocatalysts
Yann Sakref, Olivier Rivoire
https://arxiv.org/abs/2403.19047 https://

Design principles, growth laws, and competition of minimal autocatalysts
The apparent difficulty of designing simple autocatalysts that grow exponentially in the absence of enzymes, external drives or ingenious internal mechanisms severely constrains scenarios for the emergence of evolution by natural selection in chemical and physical systems. Here, we systematically analyze these difficulties in the context of one of the simplest and most generic autocatalysts: a dimeric molecule that duplicates by templated ligation. We show that despite its simplicity, such an a…

Group COMBSS: Group Selection via Continuous Optimization
Anant Mathur, Sarat Moka, Benoit Liquet, Zdravko Botev
https://arxiv.org/abs/2404.13339 https://<…

Group COMBSS: Group Selection via Continuous Optimization
We present a new optimization method for the group selection problem in linear regression. In this problem, predictors are assumed to have a natural group structure and the goal is to select a small set of groups that best fits the response. The incorporation of group structure in a predictor matrix is a key factor in obtaining better estimators and identifying associations between response and predictors. Such a discrete constrained problem is well-known to be hard, particularly in high-dimens…

This https://arxiv.org/abs/2404.04587 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNE_…

Neuroevolving Electronic Dynamical Networks
Neuroevolution is a powerful method of applying an evolutionary algorithm to refine the performance of artificial neural networks through natural selection; however, the fitness evaluation of these networks can be time-consuming and computationally expensive, particularly for continuous time recurrent neural networks (CTRNNs) that necessitate the simulation of differential equations. To overcome this challenge, field programmable gate arrays (FPGAs) have emerged as an increasingly popular solut…

How to study the evolution of parametrized games?
Georgiy Karev
https://arxiv.org/abs/2404.11748 https://arxiv.org/pdf/2404.11748

How to study the evolution of parametrized games?
I consider a family of games with corresponding payoff matrices, parametrized by the parameter The informal question of interest is: what game is the best? Instead of attempting to suggest a more or less arbitrary definition of the best game, I allow natural selection to find it through honest competition between games. Specifically, I consider a model of a community composed of populations with different payoff matrices and study the natural selection between the populations. The outcome of th…