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Found 7 papers, 3 papers with code
Linear and Rational Factorization of Tropical Polynomials
Already for bivariate tropical polynomials, factorization is an NP-Complete problem.
Combinatorics
Classification on Large Networks: A Quantitative Bound via Motifs and Graphons
When each data point is a large graph, graph statistics such as densities of certain subgraphs (motifs) can be used as feature vectors for machine learning.
Clustering with Fast, Automated and Reproducible assessment applied to longitudinal neural tracking
Across many areas, from neural tracking to database entity resolution, manual assessment of clusters by human experts presents a bottleneck in rapid development of scalable and specialized clustering methods.
Estimating a Directed Tree for Extremes
We propose a new method to estimate a root-directed spanning tree from extreme data.
Minimax Rates for High-Dimensional Random Tessellation Forests
In this work, we show that a large class of random forests with general split directions also achieve minimax optimal convergence rates in arbitrary dimension.
Improving random walk rankings with feature selection and imputation
The Science4cast Competition consists of predicting new links in a semantic network, with each node representing a concept and each edge representing a link proposed by a paper relating two concepts.
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network
For that, we use more than 100, 000 research papers and build up a knowledge network with more than 64, 000 concept nodes.
