K. Tsuda

Details der Publikationsliste

Zeitraum

1987 - 2009

Anzahl

111

Co-Autoren

The strategy for human resources development in SMI (2009)

K. Tsuda

The Japanese steel industry has achieved a number of advances which centre around the expansion of facilities and significant innovations in operating technologies. However, these improvements have...

The strategy for human resources development in SMI (2009)

K. Tsuda

The Japanese steel industry has achieved a number of advances which centre around the expansion of facilities and significant innovations in operating technologies. However, these improvements have...

New Renormalization Scheme of Vacuum Polarization in QED (2009)

Fujita, T., Kanda, N., Kato, H., Kubo, H., Munakata, Y., Oshima, S., ...

We examine the vacuum polarization contribution in the renormalization scheme of QED. Normally, the quadratic divergence term is discarded under the condition that the counter term of the Lagrangian...

Unphysical Gauge Fixing in Higgs Mechanism (2008)

Fujita, T., Kusaka, A., Tsuda, K., Oshima, S.

The unitary gauge in the Higgs mechanism is to impose the condition of $\phi =\phi^\dagger $ on the Higgs fields. However, this is not the gauge fixing but simply a procedure for producing the...

Protein Functional Class Prediction With a Combined Graph (2008)

Shin, H.H., Tsuda, K., Schölkopf, B.

In bioinformatics, there exist multiple descriptions of graphs for the same set of genes or proteins. For instance, in yeast systems, graph edges can represent different relationships such as...

gBoost: A Mathematical Programming Approach to Graph Classification and Regression (2008)

Saigo, H., Nowozin, S., Kadowaki, T., Kudo, T., Tsuda, K.

Graph mining methods enumerate frequently appearing subgraph patterns, which can be used as features for subsequent classification or regression. However, frequent patterns are not necessarily...

Protein Functional Class Prediction With a Combined Graph (2008)

Shin, H.H., Tsuda, K., Schölkopf, B.

In bioinformatics, there exist multiple descriptions of graphs for the same set of genes or proteins. For instance, in yeast systems, graph edges can represent different relationships such as...

A Quantum-Statistical-Mechanical Extension of Gaussian Mixture Model (2008)

Tanaka, K., Tsuda, K.

We propose an extension of Gaussian mixture models in the statistical-mechanical point of view. The conventional Gaussian mixture models are formulated to divide all points in given data to some...

Frequent Subgraph Retrieval in Geometric Graph Databases (2008)

Nowozin, S., Tsuda, K., Giannotti, F., Gunopulos, D., Turini, F., Zaniolo, C., ...

Discovery of knowledge from geometric graph databases is of particular importance in chemistry and biology, because chemical compounds and proteins are represented as graphs with 3D geometric...

Iterative Subgraph Mining for Principal Component Analysis (2008)

Saigo, H., Tsuda, K., Giannotti, F., Gunopulos, D., Turini, F., Zaniolo, C., ...

Graph mining methods enumerate frequent subgraphs efficiently, but they are not necessarily good features for machine learning due to high correlation among features. Thus it makes sense to perform...

Partial Least Squares Regression for Graph Mining (2008)

Saigo, H., Krämer, N., Tsuda, K., Li, Y., Liu, B., Sarawagi, S.

Attributed graphs are increasingly more common in many application domains such as chemistry, biology and text processing. A central issue in graph mining is how to collect informative subgraph...

Graph Mining with Variational Dirichlet Process Mixture Models (2008)

Tsuda, K., Kurihara, K., Zaki, M. J.

Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high dimensionality of...

Mining complex genotypic features for predicting HIV-1 drug resistance (2007)

Saigo, H., Uno, T., Tsuda, K.

Human immunodeficiency virus type 1 (HIV-1) evolves in human body, and its exposure to a drug often causes mutations that enhance the resistance against the drug. To design an effective...

Entire Regularization Paths for Graph Data (2007)

Tsuda, K.

Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high dimensionality of...

Bayesian Inference and Optimal Design in the Sparse Linear Model (2007)

Seeger, M., Steinke, F., Tsuda, K.

The sparse linear model has seen many successful applications in Statistics, Machine Learning, and Computational Biology, such as identification of gene regulatory networks from micro-array...

Weighted Substructure Mining for Image Analysis (2007)

Nowozin, S., Tsuda, K., Uno, T., Kudo, T., Bakir, G.

In web-related applications of image categorization, it is desirable to derive an interpretable classification rule with high accuracy. Using the bag-of-words representation and the linear support...

Discriminative Subsequence Mining for Action Classification (2007)

Nowozin, S., Bakir, G., Tsuda, K.

Recent approaches to action classification in videos have used sparse spatio-temporal words encoding local appearance around interesting movements. Most of these approaches use a histogram...

Change-Point Detection using Krylov Subspace Learning (2007)

Ide, T., Tsuda, K.

We propose an efficient algorithm for principal component analysis (PCA) that is applicable when only the inner product with a given vector is needed. We show that Krylov subspace learning works well...

Clustering Graphs by Weighted Substructure Mining (2006)

Tsuda, K., Kudo, T.

Graph data is getting increasingly popular in, e.g., bioinformatics and text processing. A main difficulty of graph data processing lies in the intrinsic high dimensionality of graphs, namely, when a...

A Linear Programming Approach for Molecular QSAR analysis (2006)

Saigo, H., Kadowaki, T., Tsuda, K.

Small molecules in chemistry can be represented as graphs. In a quantitative structure-activity relationship (QSAR) analysis, the central task is to find a regression function that predicts the...

SCARNA: Fast and Accurate Structural Alignment of RNA Sequences by Matching Fixed-Length Stem Fragments (2006)

Tabei, Y., Tsuda, K., Kin, T., Asai, K.

The functions of non-coding RNAs are strongly related to their secondary structures, but it is known that a secondary structure prediction of a single sequence is not reliable. Therefore, we have to...

Network-based de-noising improves prediction from microarray data (2006)

Kato, T., Murata, Y., Miura, K., Asai, K., Horton, P.B., Tsuda, K., ...

Prediction of human cell response to anti-cancer drugs (compounds) from microarray data is a challenging problem, due to the noise properties of microarrays as well as the high variance of living...

Mining frequent stem patterns from unaligned RNA sequences (2006)

Hamada, M., Tsuda, K., Kudo, T., Kin, T., Asai, K.

Motivation: In detection of non-coding RNAs, it is often necessary to identify the secondary structure motifs from a set of putative RNA sequences. Most of the existing algorithms aim to provide the...

Propagating Distributions on a Hypergraph by Dual Information Regularization (2005)

Tsuda, K., Raedt, L. De, Wrobel, S.

In the information regularization framework by Corduneanu and Jaakkola (2005), the distributions of labels are propagated on a hypergraph for semi-supervised learning. The learning is efficiently...

Fast Protein Classification with Multiple Networks (2005)

Tsuda, K., Shin, H.H., Schölkopf, B.

Support vector machines (SVM) have been successfully used to classify proteins into functional categories. Recently, to integrate multiple data sources, a semidefinite programming (SDP) based SVM...

Learning to Find Graph Pre-Images (2004)

Bakir,G.H., Zien,A., Tsuda,K.

The recent development of graph kernel functions has made it possible to apply well-established machine learning methods to graphs. However, to allow for analyses that yield a graph as a result, it...

A Primer on Kernel Methods (2004)

Vert, J.P., Tsuda, K., Schölkopf, Bernhard

Kernel methods in general, and support vector machines (SVMs) in particular, are increasingly used to solve various problems in computational biology. They offer versatile tools to process, analyze,...

Asymptotic Properties of the Fisher Kernel (2004)

Tsuda, K, Akaho, S, Kawanabe, M, Müller, Klaus-Robert

This letter analyzes the Fisher kernel from a statistical point of view. The Fisher kernel is a particularly interesting method for constructing a model of the posterior probability that makes...

Protein Functional Class Prediction with a Combined Graph (2004)

Shin,H., Tsuda,K., Schölkopf,B.

In bioinformatics, there exist multiple descriptions of graphs for the same set of genes or proteins. For instance, in yeast systems, graph edges can represent different relationships such as...

Asymptotic properties of the fisher kernel (2004)

Tsuda, K., Akaho, S., Kawanabe, M., Müller, K.R.

This letter analyzes the Fisher kernel from a statistical point of view. The Fisher kernel is a particularly interesting method for constructing a model of the posterior probability that makes...

A primer on molecular biology (2004)

Zien, A., Schoelkopf, B., Tsuda, K., Vert, J. P.

Modern molecular biology provides a rich source of challenging machine learning problems. This tutorial chapter aims to provide the necessary biological background knowledge required to communicate...

Protein Functional Class Prediction with a Combined Graph (2004)

Shin, H., Tsuda, K., Schölkopf, B.

In bioinformatics, there exist multiple descriptions of graphs for the same set of genes or proteins. For instance, in yeast systems, graph edges can represent different relationships such as...

Learning to Find Graph Pre-Images (2004)

Bakir, G.H., Zien, A., Tsuda, K., Rasmussen, C. E., Buelthoff, H. H., Giese, M. A., ...

The recent development of graph kernel functions has made it possible to apply well-established machine learning methods to graphs. However, to allow for analyses that yield a graph as a result, it...

Collective flow and HBT radii from a full 3D hydrodynamic model with early chemical freeze out (2002)

Hirano, T., Tsuda, K.

We investigate the effect of early chemical freeze-out on hydrodynamic flow and HBT radii at the RHIC energy with a genuinely three dimensional hydrodynamic model. It is found that the property of...

The effect of early chemical freeze out on radial and elliptic flow from a full 3D hydrodynamic model (2002)

Hirano, T., Tsuda, K.

We investigate the effect of early chemical freeze-out on radial and elliptic flow by using a fully three dimensional hydrodynamic model. We find that the time evolution of temperature and the...

Subspace information criterion for nonquadratic regularizers - model selection for sparse regressors (2002)

Tsuda, K., Sugiyama, M.

Nonquadratic regularizers, in particular the l/sub 1/ norm regularizer can yield sparse solutions that generalize well. In this work we propose the generalized subspace information criterion (GSIC)...

A new discriminative kernel from probabilistic models (2002)

Tsuda, K., Kawanabe, M., Rätsch, G., Sonnenburg, S.

Recently, Jaakkola and Haussler (1999) proposed a method for constructing kernel functions from probabilistic models. Their so-called Fisher kernel has been combined with discriminative classifiers...

The leave-one-out kernel (2002)

Tsuda, K., Kawanabe, M.

Recently, several attempts have been made for deriving data-dependent kernels from distribution estimates with parametric models (e.g. the Fisher kernel). In this paper, we propose a new kernel...

Microscopy and optical manipulation of dendrimer-built vesicles (2001)

Tsuda, K, Dol, GC, Latterini, L, Weener, JW, Schenning, APHJ, ...

A fifth-generation poly(propylene imine) dendrimer decorated with palmitoyl- and azobenzene-containing alkyl groups forms giant vesicles in aqueous solutions with diameters From 50 nm up to 20 mum...

An Introduction to Kernel-Based Learning Algorithms (2001)

Mika, S., Rätsch, G., Tsuda, K., Schoelkopf, B.

This paper provides an introduction to support vector machines (SVMs), kernel Fisher discriminant analysis, and kernel principal component analysis (PCA), as examples for successful kernel-based...

Learning to predict the leave-one-out error of kernel based classifiers (2001)

Tsuda, K., Rätsch, G., Mika, S.

We propose an algorithm to predict the leave-one-out (LOO) error for kernel based classifiers. To achieve this goal with computational efficiency, we cast the LOO error approximation task into a...

Subspace information criterion for non-quadratic regularizers: Model selection for sparse regressors (2000)

Tsuda, K., Sugiyama, M.

Non-quadratic regularizers, in particular the l1 norm regularizer can yield sparse solutions that generalize well. In this work we propose the Generalized Subspace Information Criterion (GSIC) that...

Subspace information criterion for non-quadratic regularizers: Model selection for sparse regressors (2000)

Tsuda, K., Sugiyama, M.

Non-quadratic regularizers, in particular the l1 norm regularizer can yield sparse solutions that generalize well. In this work we propose the Generalized Subspace Information Criterion (GSIC) that...

Strain-induced symmetry breakdown in HOLZ lines from L12 titanium tri-aluminides (2000)

Rossouw, C. J., Tsuda, K., Forwood, C. T., Gibson, M. A., Tanaka, M.

Energy filtered CBED patterns of the Cr-stabilized Ll2 phase of a titanium tri-aluminide alloy reveal deficit higher order Laue zone (HOLZ) lines in the zeroth order diffraction disk, for which the...

Transmission and confocal fluorescence microscopy and time-resolved fluorescence spectroscopy combined with a laser trap: Investigation of optically trapped block copolymer micelles (1998)

Van Stam, J, Creutz, S, Tsuda, K, ...

Optical trapping was combined with transmission microscopy (TM), confocal and nonconfocal fluorescence scanning microscopy (CFSM and FSM, respectively), and confocal and nonconfocal time-resolved...

PCR-RFLP and sequencing analysis of ribosomal DNA of Bursaphelenchus nematodes related to pine wilt disease (1998)

Iwahori, H., Tsuda, K., Kanzaki, N., Izui, K., Futai, K.

La réaction en chaîne des polymérases/polymorphisme des fragments de restriction (PCR-RFLP) a été utilisée pour séparer des isolats du nématode Bursaphelenchus. Les isolats de B. xylophilus...

Design and testing of Omega mode imaging energy filters at 200 kV (1997)

Tsuno, K., Kaneyama, T., Honda, T., Tsuda, K., Terauchi, M., Tanaka, M.

We designed and constructed an omega filter with following optical properties. The dispersions at 100 and 200 kV are 2.1 and 1.1 μm eV-1, respectively. Non-isochromatisity (difference of the...

Identification of somatostatin receptor subtypes and an implication for the efficacy of somatostatin analogue SMS 201-995 in treatment of human endocrine tumors.

Kubota, A, Yamada, Y, Kagimoto, S, Shimatsu, A, Imamura, M, Tsuda, K, ...

The presence of somatostatin receptors has been demonstrated in various endocrine tumors as well as in normal tissues. We recently have cloned five human somatostatin receptor subtypes (SSTR1-SSTR5)....

Cellular synthesis and axonal transport of gamma-aminobutyric acid in a photoreceptor cell of the barnacle.

Koike, H, Tsuda, K

1. [3H]glutamate or [3H]gamma-aminobutyric acid (GABA) was injected into the photoreceptor cell of the lateral ocellus of Balanus eburneus, in order to study the transmitter substance of the cell. 2....

Release of cholecystokinin and gallbladder contraction before and after gastrectomy.

Inoue, K, Fuchigami, A, Hosotani, R, Kogire, M, Huang, Y S, Miyashita, T, ...

The contraction of the gallbladder by ultrasonography and release of cholecystokinin (CCK) by specific radioimmunoassay in response to the ingestion of oral fatty meal before and 1 month after...

Plasma cholecystokinin and pancreatic polypeptide response after radical pancreatoduodenectomy with Billroth I and Billroth II type of reconstruction.

Inoue, K, Tobe, T, Suzuki, T, Hosotani, R, Kogire, M, Fuchigami, A, ...

This study was conducted to elucidate plasma cholecystokinin (CCK) and pancreatic polypeptide (PP) response after pancreatoduodenectomy and to compare response of CCK and PP in patients who had...

Molecular analysis of the gene of the alpha 1-antitrypsin deficiency variant, Mnichinan.

Matsunaga, E, Shiokawa, S, Nakamura, H, Maruyama, T, Tsuda, K, Fukumaki, Y

Mnichinan, a variant of alpha 1-antitrypsin (alpha 1-AT) was detected in a Japanese individual with serum alpha 1-AT deficiency (18 mg/dl), associated with aggregated alpha 1-AT molecules in the...

Identification of somatostatin receptor subtypes and an implication for the efficacy of somatostatin analogue SMS 201-995 in treatment of human endocrine tumors.

Kubota, A, Yamada, Y, Kagimoto, S, Shimatsu, A, Imamura, M, Tsuda, K, ...

The presence of somatostatin receptors has been demonstrated in various endocrine tumors as well as in normal tissues. We recently have cloned five human somatostatin receptor subtypes (SSTR1-SSTR5)....

Cellular synthesis and axonal transport of gamma-aminobutyric acid in a photoreceptor cell of the barnacle.

Koike, H, Tsuda, K

1. [3H]glutamate or [3H]gamma-aminobutyric acid (GABA) was injected into the photoreceptor cell of the lateral ocellus of Balanus eburneus, in order to study the transmitter substance of the cell. 2....

Release of cholecystokinin and gallbladder contraction before and after gastrectomy.

Inoue, K, Fuchigami, A, Hosotani, R, Kogire, M, Huang, Y S, Miyashita, T, ...

The contraction of the gallbladder by ultrasonography and release of cholecystokinin (CCK) by specific radioimmunoassay in response to the ingestion of oral fatty meal before and 1 month after...

Plasma cholecystokinin and pancreatic polypeptide response after radical pancreatoduodenectomy with Billroth I and Billroth II type of reconstruction.

Inoue, K, Tobe, T, Suzuki, T, Hosotani, R, Kogire, M, Fuchigami, A, ...

This study was conducted to elucidate plasma cholecystokinin (CCK) and pancreatic polypeptide (PP) response after pancreatoduodenectomy and to compare response of CCK and PP in patients who had...

Molecular analysis of the gene of the alpha 1-antitrypsin deficiency variant, Mnichinan.

Matsunaga, E, Shiokawa, S, Nakamura, H, Maruyama, T, Tsuda, K, Fukumaki, Y

Mnichinan, a variant of alpha 1-antitrypsin (alpha 1-AT) was detected in a Japanese individual with serum alpha 1-AT deficiency (18 mg/dl), associated with aggregated alpha 1-AT molecules in the...

HLA and adult T cell leukaemia: HLA-linked genes controlling susceptibility to human T cell leukaemia virus type I.

Uno, H, Kawano, K, Matsuoka, H, Tsuda, K

HLA antigens of patients with adult T cell leukaemia (ATL), T cell malignant lymphoma (T-ML), and healthy carriers of human T cell leukaemia virus type I (HTLV-I) were investigated in an endemic area...

Effects of swimming training on aerobic capacity and exercise induced bronchoconstriction in children with bronchial asthma

Matsumoto, I, Araki, H, Tsuda, K, Odajima, H, Nishima, S, Higaki, Y, ...

BACKGROUND—A study was undertaken to determine whether swimming training improved aerobic capacity, exercise induced bronchoconstriction (EIB), and bronchial responsiveness to inhaled histamine in...