Network embedding as matrix factorization: Unifying deepwalk, line, pte, and node2vec
Since the invention of word2vec, the skip-gram model has significantly advanced the
research of network embedding, such as the recent emergence of the DeepWalk, LINE, PTE …
research of network embedding, such as the recent emergence of the DeepWalk, LINE, PTE …
Continuous counterparts of Poisson and binomial distributions and their properties
A Ilienko - arXiv preprint arXiv:1303.5990, 2013 - arxiv.org
On the basis of integral representations of Poisson and binomial distribution functions via
complete and incomplete Euler\Gamma-and B-functions, we introduce and discuss …
complete and incomplete Euler\Gamma-and B-functions, we introduce and discuss …
Cross-graph embedding with trainable proximity for graph alignment
Graph alignment, also known as network alignment, has many applications in data mining
tasks. It aims to find the node correspondence across disjoint graphs. With recent …
tasks. It aims to find the node correspondence across disjoint graphs. With recent …
The wisdom of the crowd and higher-order beliefs
The classic wisdom-of-the-crowd problem asks how a principal can" aggregate" information
about the unknown state of the world from agents without understanding the information …
about the unknown state of the world from agents without understanding the information …
Combinatorial Pure Exploration of Multi-Armed Bandit with a Real Number Action Class
S Nakamura, M Sugiyama - arXiv preprint arXiv:2306.09202, 2023 - arxiv.org
The combinatorial pure exploration (CPE) in the stochastic multi-armed bandit setting (MAB)
is a well-studied online decision-making problem: A player wants to find the optimal\emph …
is a well-studied online decision-making problem: A player wants to find the optimal\emph …
A wavelet-based neural network scheme for supervised and unsupervised learning
ML Esquível, NP Krasii - Neural Computing and Applications, 2021 - Springer
We introduce a scheme for supervised and unsupervised learning based on successive
decomposition of random inputs by means of wavelet basis. To each successive layer …
decomposition of random inputs by means of wavelet basis. To each successive layer …
[HTML][HTML] Bell's Inequality, Its Physical Origins, and Generalization
VA Zorich - Proceedings of the Steklov Institute of Mathematics, 2024 - Springer
Bell’s Inequality, Its Physical Origins, and Generalization | Proceedings of the Steklov Institute
of Mathematics Skip to main content SpringerLink Account Menu Find a journal Publish with us …
of Mathematics Skip to main content SpringerLink Account Menu Find a journal Publish with us …
UNIFORM CONVERGENCE OF A NONPARAMETRIC ESTIMATE OF POISSON REGRESSION WITH AN APPLICATION TO GOODNESS-OF-FIT
P Babilua, E Nadaraya - Journal of Mathematical Sciences, 2024 - Springer
UNIFORM CONVERGENCE OF A NONPARAMETRIC ESTIMATE OF POISSON REGRESSION
WITH AN APPLICATION TO GOODNESS-OF-FIT | Journal of Mathematical Sciences Skip to …
WITH AN APPLICATION TO GOODNESS-OF-FIT | Journal of Mathematical Sciences Skip to …
Infinite-Dimensional Monte Carlo Integration
G Pantsulaia, G Pantsulaia - Applications of Measure Theory to Statistics, 2016 - Springer
By using the main properties of uniformly distributed sequences of increasing finite sets in
infinite-dimensional rectangles in R^ ∞ R∞ described in P2, an infinite-dimensional Monte …
infinite-dimensional rectangles in R^ ∞ R∞ described in P2, an infinite-dimensional Monte …
[PDF][PDF] Probability and Measure
DJ Olive - 2024 - parker.ad.siu.edu
Many statistics departments offer a one semester graduate course in Probability and
Measure. Two good texts are Karr (1993) and Resnick (1999). Billingsley (1995) and Ash …
Measure. Two good texts are Karr (1993) and Resnick (1999). Billingsley (1995) and Ash …