Research
On-device research index

arXiv research

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.

168,695 papers · 148 categories

Trend · papers per month

81163244325 · Jun 202019922001200920172026
48 results for weighted plane trees

Counting HCMU sphere components using weighted trees.

problem Counting components of moduli space of HCMU spheres.
method Using weighted plane trees to characterize HCMU spheres with a single integral conical angle, and an explicit counting formula is derived.
result An explicit counting formula for the components of the moduli space of HCMU spheres.

This paper presents an algorithm to construct a weighted adjacency matrix of a plane bipartite graph obtained from a pretzel knot diagram. The determinant of this matrix after evaluation is shown to be the Jones polynomial of the pretzel knot by way of perfect matchings (or dimers) of this graph. The weights are Tutte'…

2010-11-16abs ↗pdf ↗

Asymptotic subcone of an unbounded metric space is another metric space, capturing the structure of the original space at infinity. In this paper we define a functional metric space S which is an asymptotic subcone of the hyperbolic plane. This space is a real tree branching at every its point. Moreover, it is a homoge…

1998-06-19abs ↗pdf ↗

Paper introduces clock moves for plane graphs and proves Alexander polynomial properties.

problem Alexander polynomial of plane graphs and unimodality of coefficients.
method Introduces clock moves for plane graphs and develops a spanning tree model of Alexander polynomial.
result Proves unimodal property of Alexander polynomial coefficients and confirms conjectures.

We give a criterion when a planar tree-like curve, i.e. a generic immersed plane curve each double point of which cuts it into two disjoint parts, can be send by a diffeomorphism of the plane onto a curve with no inflection points. We also present some upper and lower bounds for the minimal number of inflection points …

1997-08-12abs ↗pdf ↗

The study proves a conjecture about arborescent links with many twigs.

problem Proving the meridional rank conjecture for arborescent links.
method Using an upper bound on the bridge number in terms of the maximal number of link components of the underlying tree.
result Proves the meridional rank conjecture for arborescent links with specific properties.

Study on inflection points of plane curve shadows with fixed embedded shapes.

problem Minimum number of inflection points in plane curves with fixed embedded shadows.
method Finite coorientation problem on building polygons, dynamic programming, universal lower bound, tree-necklace shadows.
result Exact formula for minimum number of normalized inflections for tree-like shadows.

Let FF be a non-singular foliation on the plane with all leaves being closed subsets, H+(F)H^{+}(F) be the group of homeomorphisms of the plane which maps leaves onto leaves endowed with compact open topology, and H0+(F)H^{+}_{0}(F) be the identity path component of H+(F)H^{+}(F). The quotient $π_0 H^{+}(F) = H^{+}(F)/H^{+}_{0}…

2016-07-14abs ↗pdf ↗

We study periodic wind-tree models, billiards in the plane endowed with Z2\mathbb{Z}^2-periodically located identical connected symmetric right-angled obstacles. We show asymptotic formulas for the number of (isotopy classes of) closed billiard trajectories (up to Z2\mathbb{Z}^2-translations) on the wind-tree billiard.…

2016-04-19abs ↗pdf ↗

Study of circle configurations in the plane, proving aspherical space and computing fundamental groups.

problem Understanding the space of configurations of circles in the plane.
method Proved the space is aspherical and computed fundamental groups of its components.
result Fundamental groups are iterated semidirect products of braid groups, with structure dictated by a finite rooted tree.

Among all torus links, we characterise those arising as links of simple plane curve singularities by the property that their fibre surfaces admit only a finite number of cutting arcs that preserve fibredness. The same property allows a characterisation of Coxeter-Dynkin trees (i.e., AnA_n, DnD_n, E6E_6, E7E_7 and E8E_8

2014-09-02abs ↗pdf ↗

New method embeds phylogenetic trees for clustering, recovering evolutionary relationships.

problem Lack of a meaningful way to embed phylogenetic trees into a vector space.
method Split-weight embedding to fit clustering algorithms to phylogenetic trees.
result Split-weight embedding recovers meaningful evolutionary relationships in simulated and real data.

To every tree we associate a filtered cochain complex. Its cohomology and the corresponding spectral sequence have clear combinatorial description. If a tree is the Dynkin diagram of a simple plane curve singularity, the graded Euler characteristic of this complex coincides with the Alexander polynomial of the link. In…

2009-01-09abs ↗pdf ↗

We deduce from a rooted tree in the disk a slalom divide and a slalom knot. A slalom knot is either the local link of a simple plane curve singularity of type A_2n, E_6, E_8 or a fibered hyperbolic knot with very special monodromy.

1999-06-13abs ↗pdf ↗

The paper proposes a method to improve random forest classification accuracy by weighting trees based on their decision path reliability.

problem Random forests' uniform voting fails to correct errors in regions where incorrect tree representations outnumber correct ones.
method The paper introduces using the structural pattern of each tree's decision path as an instance-adaptive reliability signal to identify and weight more reliable trees.
result Using the proposed method yields a statistically significant accuracy improvement over RF on 36 binary classification benchmarks.

Paper proposes an algorithm to reconstruct optimal model structure from graph adjacency matrix.

problem Optimal model structure reconstruction from weighted colored graph adjacency matrix.
method Uses prize-collecting Steiner tree algorithm to reconstruct minimum spanning tree.
result Demonstrates the effectiveness of the prize-collecting Steiner tree algorithm for model structure reconstruction.

This work presents an approach to automatically induction for non-greedy decision trees constructed from neural network architecture. This construction can be used to transfer weights when growing or pruning a decision tree, allowing non-greedy decision tree algorithms to automatically learn and adapt to the ideal arch…

2018-11-26abs ↗pdf ↗

We introduce a new spatial data structure for high dimensional data called the \emph{approximate principal direction tree} (APD tree) that adapts to the intrinsic dimension of the data. Our algorithm ensures vector-quantization accuracy similar to that of computationally-expensive PCA trees with similar time-complexity…

2012-06-18abs ↗pdf ↗

New method improves feature selection in tree-based models.

problem Previous feature selection methods in tree-based models lack sufficient regularization and sub-optimal performance.
method Developed a new gain penalization approach for tree-based models that allows for flexible feature-specific importance weights.
result The new method improves out-of-sample performance, especially with correlated features.

Let SS be a projective plane with 33 holes. We prove that there is an exhaustion of the curve complex C(S)\mathcal{C}(S) by a sequence of finite rigid sets. As a corollary, we obtain that the group of simplicial automorphisms of C(S)\mathcal{C}(S) is isomorphic to the mapping class group Mod(S)\mathrm{Mod}(S). We also prove …

2019-07-21abs ↗pdf ↗

We study colorings of the hyperbolic plane, analogously to the Hadwiger-Nelson problem for the Euclidean plane. The idea is to color points using the minimum number of colors such that no two points at distance exactly dd are of the same color. The problem depends on dd and, following a strategy of Kloeckner, we show…

2017-01-30abs ↗pdf ↗

We investigate the problem of sequentially predicting the binary labels on the nodes of an arbitrary weighted graph. We show that, under a suitable parametrization of the problem, the optimal number of prediction mistakes can be characterized (up to logarithmic factors) by the cutsize of a random spanning tree of the g…

2012-12-21abs ↗pdf ↗

New system studies trapped light paths in Euclidean space.

problem Trapping of light paths in Euclidean space with negative refractive index.
method Introduces wind-tree tiling billiards system to study trajectories of rays in Euclidean space with rectangular obstacles.
result Almost every configuration of the system traps trajectories with initial vertical direction in an infinite strip.

The purpose of this paper is twofold. On one hand, we introduce a modification of the dual canonical basis for invariant tensors of the 3-dimensional irreducible representation of Uq(sl2)U_q(sl_2), given in terms of Jacobi diagrams, a central tool in quantum topology. On the other hand, we use this modified basis to study t…

2015-07-16abs ↗pdf ↗

G-FIGS uses instance weights to create interpretable models from diverse data.

problem Generalizing to diverse data distributions while maintaining interpretability.
method Estimates group membership probabilities, uses as instance weights in FIGS to grow decision trees.
result Achieves state-of-the-art prediction performance and maintains interpretability.

Constructs weight 1/2 multiplier systems for a specific group and relates to geometric edge paths.

problem Constructing weight 1/2 multiplier systems for a specific group.
method Defines an eta function and Rademacher symbol, relates to geometric edge paths in a triangulation of the upper half plane.
result Relates weight 1/2 multiplier systems to geometric edge paths.

Symmetric TSP is structurally equivalent to a constrained Group Steiner Tree Problem.

problem Finding the shortest tour in a symmetric TSP.
method Structural equivalence between symmetric TSP and constrained Group Steiner Tree Problem.
result Maximizing net weight in the cGSTP is equivalent to minimizing the TSP tour length.

We introduce a new class of lower bounds on the log partition function of a Markov random field which makes use of a reversed Jensen's inequality. In particular, our method approximates the intractable distribution using a linear combination of spanning trees with negative weights. This technique is a lower-bound count…

2012-03-15abs ↗pdf ↗

Enhanced Random Forests outperform XGBoost across binary classification datasets.

problem Improving performance of Random Forests in binary classification.
method Adaptive sample and model weighting, iterative algorithm for sample weights, personalized tree weighting schemes.
result Significantly outperforms XGBoost across 15 binary classification datasets.

WildWood improves Random Forest predictions using bootstrap out-of-bag samples.

problem Improving Random Forest predictions for supervised learning.
method Uses bootstrap out-of-bag samples to compute improved predictions by aggregating all possible subtrees with exponential weights.
result WildWood produces faster and more competitive predictions compared to other ensemble methods.

Classifies pseudo-Anosov flows on 3-manifolds up to orbit equivalence.

problem Classifying pseudo-Anosov flows on 3-manifolds up to orbit equivalence.
method Generalized Anosov-like actions on bifoliated planes, ideal boundary analysis.
result Pseudo-Anosov flows on 3-manifolds are determined up to orbit equivalence by their ideal boundary actions.

Sparse oblique decision tree improves security rules for renewable power systems.

problem Identifying secure operating conditions in power systems with high renewable energy.
method Sparse weighted oblique decision tree to learn and embed linear security rules.
result The method significantly increases secure states and reduces solution time.

TREX explains tree ensembles by identifying key training examples.

problem Identifying which training examples most influence tree ensemble predictions.
method TREX builds a surrogate model using a kernel that captures tree ensemble structure, approximating the original model.
result TREX provides accurate and effective explanations for tree ensembles.