1 citations · 2 across the 10 of their papers we have counts for
5 papers · 1 filter
Tracking Temporal Dynamics of Vector Sets with Gaussian Process
Taichi Aida, Mamoru Komachi, Toshinobu Ogiso +2
Understanding the temporal evolution of sets of vectors is a fundamental challenge across various domains, including ecology, crime analysis, and linguistics. For instance, ecosyst…
Sequential Adaptive Priors for Orthogonal Functions
Shonosuke Sugasawa, Daichi Mochihashi
We propose a novel class of prior distributions for sequences of orthogonal functions, which are frequently required in various statistical models such as functional principal comp…
Misspecifying non-compensatory as compensatory IRT: analysis of estimated skills and variance
Hiroshi Tamano, Hideitsu Hino, Daichi Mochihashi
Multidimensional item response theory is a statistical test theory used to estimate the latent skills of learners and the difficulty levels of problems based on test results. Both…
Scalable Unsupervised Segmentation via Random Fourier Feature-based Gaussian Process
Issei Saito, Masatoshi Nagano, Tomoaki Nakamura +2
In this paper, we propose RFF-GP-HSMM, a fast unsupervised time-series segmentation method that incorporates random Fourier features (RFF) to address the high computational cost of…
Analyzing Continuous Semantic Shifts with Diachronic Word Similarity Matrices
Hajime Kiyama, Taichi Aida, Mamoru Komachi +3
The meanings and relationships of words shift over time. This phenomenon is referred to as semantic shift. Research focused on understanding how semantic shifts occur over multiple…