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- Shohei Shimizu, Takanori Inazumi, +5 authors Kenneth Bollen
- Journal of Machine Learning Research
- 2011

Structural equation models and Bayesian networks have been widely used to analyze causal relations between continuous variables. In such frameworks, linear acyclic models are typically used to modelâ€¦ (More)

- Yoshinobu Kawahara, Masashi Sugiyama
- SDM
- 2009

Change-point detection is the problem of discovering time points at which properties of time-series data change. This covers a broad range of real-world problems and has been actively discussed inâ€¦ (More)

- Satoshi Hara, Yoshinobu Kawahara, Takashi Washio, Paul von BÃ¼nau, Terumasa Tokunaga, Kiyohumi Yumoto
- Neural Networks
- 2012

Non-stationary effects are ubiquitous in real world data. In many settings, the observed signals are a mixture of underlying stationary and non-stationary sources that cannot be measured directly.â€¦ (More)

- Kiyohito Nagano, Yoshinobu Kawahara, Satoru Iwata
- NIPS
- 2010

A number of objective functions in clustering problems can b e described with submodular functions. In this paper, we introduce the minim um average cost criterion, and show that the theory ofâ€¦ (More)

- Bo Xin, Yoshinobu Kawahara, Yizhou Wang, Wen Gao
- AAAI
- 2014

Generalized fused lasso (GFL) penalizes variables with L1 norms based both on the variables and their pairwise differences. GFL is useful when applied to data where prior information is expressedâ€¦ (More)

- Kiyohito Nagano, Yoshinobu Kawahara, Kazuyuki Aihara
- ICML
- 2011

A number of combinatorial optimization problems in machine learning can be described as the problem of minimizing a submodular function. It is known that the unconstrained submodular minimizationâ€¦ (More)

- Yoshinobu Kawahara, Masashi Sugiyama
- Statistical Analysis and Data Mining
- 2012

Change-point detection is the problem of discovering time points at which properties of time-series data change. This covers a broad range of real-world problems and has been actively discussed inâ€¦ (More)

- Akiko Takeda, Mahesan Niranjan, Jun-ya Gotoh, Yoshinobu Kawahara
- Comput. Manag. Science
- 2013

Index tracking is a passive investment strategy in which an investor purchases a set of assets to mimic a market index. The tracking error, the difference between the performances of the index andâ€¦ (More)

- ChloÃ©-Agathe Azencott, Dominik Grimm, Mahito Sugiyama, Yoshinobu Kawahara, Karsten M. Borgwardt
- Bioinformatics
- 2013

MOTIVATION
As an increasing number of genome-wide association studies reveal the limitations of the attempt to explain phenotypic heritability by single genetic loci, there is a recent focus onâ€¦ (More)

- Yoshinobu Kawahara, Takehisa Yairi, Kazuo Machida
- Seventh IEEE International Conference on Dataâ€¦
- 2007

In this paper, we propose series of algorithms for detecting change points in time-series data based on subspace identification, meaning a geometric approach for estimating linear state-space modelsâ€¦ (More)