5 citations · 7 across the 3 of their papers we have counts for
3 papers
astro-ph.CO2023★ 1 cited
Inflationary -Attractor Models with Singular Derivative of Potential
Kei-ichiro Kubota, Hiroki Matsui, Takahiro Terada
A generalization of inflationary -attractor models (``polynomial -attractor'') was recently proposed by Kallosh and Linde, in which the potential involves logarithmic functio…
cs.LG2014★ 1 cited
A Logic-based Approach to Generatively Defined Discriminative Modeling
Taisuke Sato, Keiichi Kubota, Yoshitaka Kameya
Conditional random fields (CRFs) are usually specified by graphical models but in this paper we propose to use probabilistic logic programs and specify them generatively. Our inten…
cs.AI2013★ 5 cited
Viterbi training in PRISM
Taisuke Sato, Keiichi Kubota
VT (Viterbi training), or hard EM, is an efficient way of parameter learning for probabilistic models with hidden variables. Given an observation , it searches for a state of hi…