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Text classification using ESC-based stochastic decision lists

Hang Li, Kenji Yamanishi
1999 Proceedings of the eighth international conference on Information and knowledge management - CIKM '99  
7 We propose a new method of text classi®cation using stochastic decision lists.  ...  Ó In this paper, we propose a new rule-based method for text classi®cation that represents rules in 28 the form of stochastic decision lists.  ...  A stochastic decision list can be 86 viewed as a stochastic version of the deterministic decision list proposed in Rivest (1987 The use of stochastic decision lists, in general rule-based methods, in  ... 
doi:10.1145/319950.319966 dblp:conf/cikm/LiY99 fatcat:ctljbijxxzhs7gzeomyygkwtji

Text classification using ESC-based stochastic decision lists

Hang Li, Kenji Yamanishi
2002 Information Processing & Management  
7 We propose a new method of text classi®cation using stochastic decision lists.  ...  Ó In this paper, we propose a new rule-based method for text classi®cation that represents rules in 28 the form of stochastic decision lists.  ...  A stochastic decision list can be 86 viewed as a stochastic version of the deterministic decision list proposed in Rivest (1987 The use of stochastic decision lists, in general rule-based methods, in  ... 
doi:10.1016/s0306-4573(01)00038-3 fatcat:un7qlgaz4zdwvaunb3ryyhx5rm

Mining open answers in questionnaire data

K. Yamanishi, Hang Li
2002 IEEE Intelligent Systems  
After a user designates an open question or several open questions (in a column or This text mining system provides a new way of analyzing natural-language responses to questionnaires.  ...  important tools for marketing and for managing customer relationships; the answers to open-ended questions, in particular, often contain valuable information and provide an important basis for business decisions  ...  Acknowledgments We are grateful to Hakuhodo for providing the car data used in this article, and to Biglobe and Dentsu for permission to describe their mining results.  ... 
doi:10.1109/mis.2002.1039833 fatcat:pt7drk72gjexdl6pbsjiiqp4sq

Page 22 of Computational Linguistics Vol. 30, Issue 1 [page]

2004 Computational Linguistics  
Text classification using ESC-based stochastic decision lists. Information Processing and Management, 38:343-361. Lin, Dekang. 1997.  ...  Text classification from labeled and unlabeled documents using EM. Machine Learning, 39(2-3):103-134. Nigam, Kamal, and Rayid Ghani. 2000.  ... 

Mining from open answers in questionnaire data

Hang Li, Kenji Yamanishi
2001 Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '01  
In this it has been found to be useful in forming a basis for effective business decisions.  ...  Our text mining system has already been put into use by a number of large corporations in Japan in the performance of text mining on various types of survey data, including open answers about brand images  ...  Algorithm $A learns classification rules or association rules by using Stochastic Complexity (SC) or Extended Stochastic Complexity (ESC).  ... 
doi:10.1145/502512.502579 fatcat:vdhliiwyvvhbriarwiax5rptga

Tree-guided transformation-based homograph disambiguation in Mandarin TTS system

Fangzhou Liu, Qin Shi, Jianhua Tao
2008 Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing  
In this paper, a hybrid algorithm called tree-guided transformation-based learning (TTBL), which combines decision tree with transformation-based learning (TBL), is proposed to resolve homograph ambiguity  ...  Homograph disambiguation is the core issue of the graphemeto-phoneme conversion in Mandarin Text-to-Speech system.  ...  stochastic complexity (ESC) based stochastic decision lists [3] , transformation-based error-driven learning (TBL) [4] , have been investigated to solve the homograph disambiguation problem.  ... 
doi:10.1109/icassp.2008.4518695 dblp:conf/icassp/LiuST08 fatcat:szrv6ayewbcf3a4x6fer7p57ly

A Machine Learning Perspective on Predictive Coding with PAQ8

Byron Knoll, Nando de Freitas
2012 2012 Data Compression Conference  
We also present a broad range of new applications of PAQ8 to machine learning tasks including language modeling and adaptive text prediction, adaptive game playing, classification, and lossy compression  ...  using features from the field of deep learning. ii This thesis would not have been possible without the help and support of many people.  ...  If we use "0" to encode the decision to use the lower half and "1" to encode the decision to use the upper half, this sequence can be represented in binary as "001".  ... 
doi:10.1109/dcc.2012.44 dblp:conf/dcc/KnollF12 fatcat:2n7y2btnzbffvehyu3fbagawwa

Comparison of Supervised Classification Models on Textual Data

Bi-Min Hsu
2020 Mathematics  
Further exploration on the use of different SVM kernels was performed, demonstrating the advantage of using linear kernels over polynomial, sigmoid, and radial basis function kernels for text classification  ...  Text classification is an essential aspect in many applications, such as spam detection and sentiment analysis.  ...  Many text classification methods exist, such as the extended stochastic complexity (ESC) stochastic decision list proposed by Li and Yamanishi that uses if-then-else rules to categorize text [3] .  ... 
doi:10.3390/math8050851 fatcat:b6ebhrr6brckjm2jggxg7wrm6q

Epigenetic Landscapes Explain Partially Reprogrammed Cells and Identify Key Reprogramming Genes

Alex H. Lang, Hu Li, James J. Collins, Pankaj Mehta, Alexandre V. Morozov
2014 PLoS Computational Biology  
List of all microarrays used in this paper. Text S1 Attractor neural networks: Additional details. Figure 1 . 1 Phenotypic landscape.  ...  All data used in this paper are available in the online Supplementary Information and is organized as follows: N File S1: Microarray Sources. List of all microarrays used in this paper.  ... 
doi:10.1371/journal.pcbi.1003734 pmid:25122086 pmcid:PMC4133049 fatcat:skm7exvvyjaxzkr6dn52wggrcy

Multi-feature extraction and selection in writer-independent off-line signature verification

Dominique Rivard, Eric Granger, Robert Sabourin
2011 International Journal on Document Analysis and Recognition  
Using this global WI feature selection approach allows to explore and select from large feature sets based on knowledge of a population of users.  ...  Dichotomy transformation is then applied in the resulting feature space to allow for WI classification.  ...  In this paper, the representation of signature images is achieved by using two grid-based techniques-ESC and DPDF.  ... 
doi:10.1007/s10032-011-0180-6 fatcat:2p7yuzgwvndpdpud4bvb7onvfy

Stem Cell Differentiation as a Non-Markov Stochastic Process

Patrick S. Stumpf, Rosanna C.G. Smith, Michael Lenz, Andreas Schuppert, Franz-Josef Müller, Ann Babtie, Thalia E. Chan, Michael P.H. Stumpf, Colin P. Please, Sam D. Howison, Fumio Arai, Ben D. MacArthur
2017 Cell Systems  
through stochastically in sequence.  ...  However, analysis of the rate at which cells enter and exit these observed cell states using a hidden Markov model indicates the presence of a chain of unobserved molecular states that each cell transits  ...  those from a training library of 161 cell-type-specific gene expression profiles curated from the literature (for complete list, see Table S1 ) and produces a similarity score for each lineage based  ... 
doi:10.1016/j.cels.2017.08.009 pmid:28957659 pmcid:PMC5624514 fatcat:hh377pbol5azrj2yeew6e3eehi

Histopathology-Based Deep-Learning Predicts Atherosclerotic Lesions in Intravascular Imaging

Olle Holmberg, Tobias Lenz, Valentin Koch, Aseel Alyagoob, Léa Utsch, Andreas Rank, Emina Sabic, Masaru Seguchi, Erion Xhepa, Sebastian Kufner, Salvatore Cassese, Adnan Kastrati (+3 others)
2021 Frontiers in Cardiovascular Medicine  
An automated decision-support tool based on DeepAD could help in risk prediction and guide interventional treatment decisions.  ...  a histopathology-based deep-learning algorithm, allowing accurate detection in the clinical setting.  ...  An automated decision-support tool based on DeepAD could help in risk prediction and guide interventional treatment decisions.  ... 
doi:10.3389/fcvm.2021.779807 pmid:34970608 pmcid:PMC8713728 fatcat:llcqi7mtcvfivcteg4wbozn3a4

Growth factor-mediated coupling between lineage size and cell fate choice underlies robustness of mammalian development [article]

Nestor Saiz, Laura Mora-Bitria, Shahadat Rahman, Hannah George, Jeremy P Herder, Jordi Garcia-Ojalvo, Anna-Katerina Hadjantonakis
2019 biorxiv/medrxiv   pre-print
Using laser cell ablation to alter lineage composition in mouse blastocysts we show that cell elimination biases the specification of progenitors towards the targeted cell type, both in vivo and in silico  ...  Our results reveal how individual cell fate decisions are coordinated in an in vivo self-organizing system to robustly generate tissues of appropriate size providing a basis for the regulative abilities  ...  List of alleles used in the study. Supplementary file 2. List of primers used for genotyping. Supplementary file 3. List of antibodies used for immunofluorescence. Decision Additional files . .  ... 
doi:10.1101/2019.12.27.889006 fatcat:h5j5f2vuzjajnpoabrocftyps4

DIRECTION: a machine learning framework for predicting and characterizing DNA methylation and hydroxymethylation in mammalian genomes

Milos Pavlovic, Pradipta Ray, Kristina Pavlovic, Aaron Kotamarti, Min Chen, Michael Q Zhang, Inanc Birol
2017 Bioinformatics  
Our toolkit DIRECTION provides predictions at single nucleotide resolution and identifies relevant features based on resource availability.  ...  Beam search algorithm: All input features (listed in Supplementary Table T3 ) were first preprocessed for use in our predictive framework (Supplementary Text S5).  ...  Model-based classification: SVMs typically seek to maximize the distance of training instances from the decision boundary in input space, using a kernel transformation to separate features in high dimensional  ... 
doi:10.1093/bioinformatics/btx316 pmid:28505334 pmcid:PMC5870843 fatcat:3fhdbacgajhmxbxduztof6zfti

Growth factor-mediated coupling between lineage size and cell fate choice underlies robustness of mammalian development

Nestor Saiz, Laura Mora-Bitria, Shahadat Rahman, Hannah George, Jeremy Herder, Jordi Garcia-Ojalvo, Anna-Katerina Hadjantonakis
2020 eLife  
decisions are coordinated at the population level to robustly generate tissues in the right proportions.  ...  Addition of lineage-restricted cells both in vivo and in silico, causes a shift of the fate of progenitors away from the supernumerary cell type, while eliminating cells using laser ablation biases the  ...  simulations (described in Appendix 1) throughout the text.  ... 
doi:10.7554/elife.56079 pmid:32720894 pmcid:PMC7513828 fatcat:pjhnp2errnc7bndfiqpk4oxsri
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