A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
New derivation shows how a three-factor learning rule is derived from Oja's rule.
DeepCTRL integrates rules into deep learning models, allowing flexible control at inference.
New methods prune unpromising rules from KGs, improving scalability and runtime.
In this study, we give the relationships between the conical curvatures of ruled surfaces drawn by the unit vectors of the ruling, central normal and central tangent of a regular ruled surface in the Euclidean -space. We obtain the differential equations characterizing slant ruled surfaces and if the reference ruled su…
New framework learns interpretable rule ensembles without sacrificing accuracy.
R2N learns interpretable rules and literals from numerical features.
Study ruled surfaces with finite multiplicity, focusing on their curves and singularities.
Paper classifies ruled surfaces in Lorentz-Minkowski space for a specific flow.
In this study, we define some new types of ruled surfaces called slant ruled surfaces. We give some characterizations for a regular ruled surface to be a slant ruled surface in Euclidean 3- space. We show that if the slant ruled surface is developable then the striction curve is a general helix or a slant helix accordi…
In this paper we use fuzzy systems theory to convert the technical trading rules commonly used by stock practitioners into excess demand functions which are then used to drive the price dynamics. The technical trading rules are recorded in natural languages where fuzzy words and vague expressions abound. In Part I of t…
Subdivision rules create sequences of nested cell structures on CW-complexes, and they frequently arise from groups. In this paper, we develop several tools for classifying subdivision rules. We give a criterion for a subdivision rule to represent a Gromov hyperbolic space, and show that a subdivision rule for a hyperb…
In this article supervised learning problems are solved using soft rule ensembles. We first review the importance sampling learning ensembles (ISLE) approach that is useful for generating hard rules. The soft rules are then obtained with logistic regression from the corresponding hard rules. In order to deal with the p…
Advances rule-based multi-label classification using conformal prediction.
In this paper, we consider non developable ruled surface with spacelike ruling, timelike ruling, respectively. We give the relations between the structure functions with the curvature and torsion of the striction line of the timelike and spacelike non developable ruled surfaces. Also, we have calculated the gaussian an…
The Lamarle Formula, given by Kruppa in \cite{Kr}, is known as a relationship between the Gaussian curvature and the distribution parameter of a ruled surface in the surface theory. The ruled surfaces were investigated in 3 different classes with respect to the character of base curves and rulings, \cite{Tu1},\cite{Tu2…
In this study, we introduce Darboux slant ruled surfaces in the Euclidean 3-space which is defined by the property that the Darboux vector of orthonormel frame of ruled surface makes a constant angle with a fixed, non-zero direction. We obtain the characterizations of Darboux slant ruled surfaces regarding the conical …
Generative models learn rules at different timescales, revealing a 'innovation window'.
In this study, we define some new types of non-null ruled surfaces called slant ruled surfaces in the Minkowski 3-space E_1^3. We introduce some characterizations for a non-null ruled surface to be a slant ruled surface in E_1^3. Moreover, we obtain some corollaries which give the relationships between a non-null slant…
FedRule uses graph neural networks to recommend rules for smart homes without centralizing data.
Paper explores folding patterns of curved creases preserving their geometric properties.
Study on hypersurfaces with minimized distance between rulings.
NeuRules learns interpretable rule lists from data without pre-discretization.
Study embeds ruled surfaces into symplectic manifolds, finds Stein fillability results.
Paper extends transfer learning for decision rules, improving treatment rule estimation.
This paper considers generalized linear models using rule-based features, also referred to as rule ensembles, for regression and probabilistic classification. Rules facilitate model interpretation while also capturing nonlinear dependences and interactions. Our problem formulation accordingly trades off rule set comple…
FIRE extracts interpretable rules from tree ensembles.
In this paper, we obtain the characterizations of Mannheim offsets of the timelike ruled surface with spacelike rulings in dual Lorentzian space. We give the relations between terms of their integral invariants and also we give the new characterization of the Mannheim offsets of developable timelike ruled surface. More…
Optimal classification rules control error rates in multiclass mixture models.
We classify ruled minimal surfaces in with density It is showed that there is no noncylindrical ruled minimal surface and there is a family of cylindrical ruled minimal surfaces in with density It is also proved that all translation minimal surfaces are ruled.
Cannon and Swenson have shown that each hyperbolic 3-manifold group has a natural subdivision rule on the space at infinity, and that this subdivision rule captures the action of the group on the sphere. Explicit subdivision rules have also been found for some closed and finite-volume hyperbolic manifolds, as well as a…
A new screening rule improves SLOPE efficiency for high-dimensional data.
CRL approach improves understanding of heterogeneous treatment effects in complex diseases.
Finite subdivision rules in high dimensions can be difficult to visualize and require complex topological structures to be constructed explicitly. In many applications, only the history graph is needed. We characterize the history graph of a subdivision rule, and define a combinatorial subdivision rule based on such gr…
Study shows LLMs can extrapolate rules from out-of-distribution prompts.
Pareto's 80/20 rule follows a Gaussian distribution with twice the mean standard deviation.
A method for collecting human supervision that combines rules and instance labels.
A new screening rule improves lasso solving speed.
In this paper, using the classifications of timelike and spacelike ruled surfaces, we study the Mannheim offsets of timelike ruled surfaces in Minkowski 3-space. Firstly, we define the Mannheim offsets of a timelike ruled surface by considering the Lorentzian casual character of the offset surface. We obtain that the M…
A new method learns interpretable decision rules using submodular optimization.
In this study, we define a family of ruled surfaces in the Euclidean 3-space E^3 and called similar ruled surfaces. We obtain some properties of these special surfaces and we show that developable ruled surfaces form a family of similar ruled surfaces if and only if the striction curves of the surfaces are similar curv…
In this study, we consider the notion of similar ruled surface for timelike and spacelike ruled surfaces in Minkowski 3-space. We obtain some properties of these special surfaces in E_1^3 and we show that developable ruled surfaces in E_1^3 form a family of similar ruled surfaces if and only if the striction curves of …
New rules reduce SLOPE model fitting time by screening out irrelevant variables.
New type of ruled surfaces studied with properties and examples.
This paper improves fraud prevention rule sets in fintech by generating diverse rules and finding Pareto-optimal subsets.
There has been significant recent work on the theory and application of randomized coordinate descent algorithms, beginning with the work of Nesterov [SIAM J. Optim., 22(2), 2012], who showed that a random-coordinate selection rule achieves the same convergence rate as the Gauss-Southwell selection rule. This result su…
Study classifies ruled surfaces critical to Dirichlet energy.
Characterizes ruled translating solitons in Minkowski 3-space.
A new learning rule consistently reduces error over data samples.