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07/18/2023
Adaptive Topological Feature via Persistent Homology: Filtration Learning for Point Clouds
Machine learning for point clouds has been attracting much attention, wi...
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05/13/2023
Tight and fast generalization error bound of graph embedding in metric space
Recent studies have experimentally shown that we can achieve in non-Eucl...
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02/23/2023
Detecting Signs of Model Change with Continuous Model Selection Based on Descriptive Dimensionality
We address the issue of detecting changes of models that lie behind a da...
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05/21/2021
Generalization Error Bound for Hyperbolic Ordinal Embedding
Hyperbolic ordinal embedding (HOE) represents entities as points in hype...
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11/18/2020
Detecting Hierarchical Changes in Latent Variable Models
This paper addresses the issue of detecting hierarchical changes in late...
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08/18/2020
Word2vec Skip-gram Dimensionality Selection via Sequential Normalized Maximum Likelihood
In this paper, we propose a novel information criteria-based approach to...
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07/31/2020
A Novel Global Spatial Attention Mechanism in Convolutional Neural Network for Medical Image Classification
Spatial attention has been introduced to convolutional neural networks (...
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07/30/2020
Change Sign Detection with Differential MDL Change Statistics and its Applications to COVID-19 Pandemic Analysis
We are concerned with the issue of detecting changes and their signs fro...
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07/23/2020
Online Robust and Adaptive Learning from Data Streams
In online learning from non-stationary data streams, it is both necessar...
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07/15/2020
Mixture Complexity and Its Application to Gradual Clustering Change Detection
In model-based clustering using finite mixture models, it is a significa...
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10/25/2019
Descriptive Dimensionality and Its Characterization of MDL-based Learning and Change Detection
This paper introduces a new notion of dimensionality of probabilistic mo...
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04/30/2019
Long-tailed distributions of inter-event times as mixtures of exponential distributions
Inter-event times of various human behavior are apparently non-Poissonia...
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10/09/2018
Adaptive Minimax Regret against Smooth Logarithmic Losses over High-Dimensional ℓ_1-Balls via Envelope Complexity
We develop a new theoretical framework, the envelope complexity, to anal...
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05/26/2018
Stable Geodesic Update on Hyperbolic Space and its Application to Poincare Embeddings
A hyperbolic space has been shown to be more capable of modeling complex...
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04/26/2018
High-dimensional Penalty Selection via Minimum Description Length Principle
We tackle the problem of penalty selection of regularization on the basi...
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01/11/2018
Exact Calculation of Normalized Maximum Likelihood Code Length Using Fourier Analysis
The normalized maximum likelihood code length has been widely used in mo...
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11/07/2017
Grafting for Combinatorial Boolean Model using Frequent Itemset Mining
This paper introduces the combinatorial Boolean model (CBM), which is de...
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03/23/2016
Predicting Glaucoma Visual Field Loss by Hierarchically Aggregating Clustering-based Predictors
This study addresses the issue of predicting the glaucomatous visual fie...
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10/13/2011