4 citations · 10 across the 6 of their papers we have counts for
6 papers
Unified Likelihood Ratio Estimation for High- to Zero-frequency N-grams
Masato Kikuchi, Kento Kawakami, Kazuho Watanabe +2
Likelihood ratios (LRs), which are commonly used for probabilistic data processing, are often estimated based on the frequency counts of individual elements obtained from samples.…
Unbiased Estimation Equation under -Separable Bregman Distortion Measures
Masahiro Kobayashi, Kazuho Watanabe
We discuss unbiased estimation equations in a class of objective function using a monotonically increasing function and Bregman divergence. The choice of the function gives…
Multi-Decoder RNN Autoencoder Based on Variational Bayes Method
Daisuke Kaji, Kazuho Watanabe, Masahiro Kobayashi
Clustering algorithms have wide applications and play an important role in data analysis fields including time series data analysis. However, in time series analysis, most of the a…
Generalized Dirichlet-process-means for -separable distortion measures
Masahiro Kobayashi, Kazuho Watanabe
DP-means clustering was obtained as an extension of -means clustering. While it is implemented with a simple and efficient algorithm, it can estimate the number of clusters simu…
Bayesian Properties of Normalized Maximum Likelihood and its Fast Computation
Andrew Barron, Teemu Roos, Kazuho Watanabe
The normalized maximized likelihood (NML) provides the minimax regret solution in universal data compression, gambling, and prediction, and it plays an essential role in the minimu…
Rate-Distortion Bounds for an Epsilon-Insensitive Distortion Measure
Kazuho Watanabe
Direct evaluation of the rate-distortion function has rarely been achieved when it is strictly greater than its Shannon lower bound. In this paper, we consider the rate-distortion…