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检索条件"任意字段=1st International Workshop on Machine Learning and Data Mining in Pattern Recognition"
580 条 记 录,以下是481-490 订阅
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learning to rank typed graph walks: Local and global approaches
Learning to rank typed graph walks: Local and global approac...
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Joint 9th WebKDD and 1st SNA-KDD workshop 2007 on Web mining and Social Network Analysis. Held in conjunction with 13th ACM SIGKDD international Conference on Knowledge Discovery and data mining, KDD 2007
作者: Minkov, Einat Cohen, William W. Language Technologies Institute Carnegie Mellon University Pittsburgh PA Machine Learning Department Carnegie Mellon University Pittsburgh PA
We consider the setting of lazy random graph walks over directed graphs, where entities are represented as nodes and typed edges represent the relations between them. This framework has been used in a variety of probl... 详细信息
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Acoustic features extraction for emotion recognition
Acoustic features extraction for emotion recognition
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6th IEEE/ACIS international Conference on Computer and Information Science in conjunction with 1st IEEE/ACIS international workshop on e-Activity
作者: Rong, Jia Chen, Yi-Ping Phoebe Chowdhury, Morshed Li, Gang Deakin Univ Sch Informat Technol & Engn Melbourne Vic Australia
In the last decade, the efforts of spoken language processing have achieved significant advances, however, the work with emotional recognition has not progressed so far,, and can only achieve 50% to 60% in accuracy [1... 详细信息
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A comparison study on algorithms of detecting long forms for short forms in biomedical text
A comparison study on algorithms of detecting long forms for...
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1st international workshop on Text mining in Bioinformatics
作者: Torii, Manabu Hu, Zhang-zhi Song, Min Wu, Cathy H. Liu, Hongfang Georgetown Univ Med Ctr Dept Biostat Bioinformat & Biomath Washington DC 20057 USA Georgetown Univ Med Ctr Dept Biochem & Mol & Cell Biol Washington DC 20007 USA Univ Hts New Jersey Inst Technol Dept Informat Syst Newark NJ 07102 USA
Motivation: With more and more research dedicated to literature mining in the biomedical domain, more and more systems are available for people to choose from when building literature mining applications. In this stud... 详细信息
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Biological Lateral Inhibition and Digital Cellular Neural Network Applied on Associational Memory
Biological Lateral Inhibition and Digital Cellular Neural Ne...
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international Conference on Bioinformatics and Biomedical Engineering (ICBBE)
作者: Fang Zi Ke Zhang Yanjun Li Dawei Zhao College of AstronauticsNorthwestern Polytechnical UniversityXi’an P.R.China Laboratory of Image ProcessingTianjin Computing Technology InstituteTianjin P.R.China
The lateral inhibition mechanism of organisms and digital cellular neural network (DCNN) are introduced. Then the integration of them is studied. Referenced some beneficial conclusions of DCNN, the model of digital ac... 详细信息
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Finding the Right Features for Instrument Classification of Classical Music  06
<bold>Finding the Right Features for Instrument Classificati...
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1st international workshop international AI and data mining
作者: Deng, Da Simmermacher, Christian Cranefield, stephen Univ Otago Dept Informat Sci POB 56 Dunedin New Zealand
In tackling data mining and pattern recognition tasks, finding a compact but effective set of features is often a crucial step in the whole problem solving process. In this paper we present an empirical study on featu... 详细信息
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Integrating Al and data mining - 1st international workshop Proceedings, AIDM 2006
Integrating Al and Data Mining - 1st International Workshop ...
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1st international workshop on Integrating AI and data mining, AIDM 2006
The proceedings contain 10 papers. The topics discussed include: pattern of behavior mediated by cognitive scripts and emotional attitudes - context aware engineering of data mining systems;visualization of non-vector... 详细信息
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PCA-based data mining probabilistic and fuzzy approaches with applications in pattern recognition
PCA-based data mining probabilistic and fuzzy approaches wit...
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1st international Conference on Software and data Technologies
作者: state, Luminita Cocianu, Catalina Vlamos, Panayiotis stefanescu, Viorica Univ Pitesti Dept Comp Sci Caderea Bastliei 45 Bucharest 1 Romania Acad Econ Studies Dept Comp Sci Bucharest 1 Romania Ionian Univ Corfu Greece Acad Econ Studies Dept Math Bucharest 1 Romania
The aim of the paper is to develop a new learning by examples PCA-based algorithm for extracting skeleton information from data to assure both good recognition performances, and generalization capabilities. Here the g... 详细信息
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Automatic annotation of protein functional class from sparse and imbalanced data sets
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1st international workshop on data mining and Bioinformatics
作者: Jung, Jaehee Thon, Michael R. Texas A&M Univ Dept Comp Sci College Stn TX 77843 USA Texas A&M Univ Dept Plant Pathol & Microbiol College Stn TX 77843 USA
In recent years, high-throughput genome sequencing and sequence analysis technologies have created the need for automated annotation and analysis of large sets of genes. The Gene Ontology (GO) provides a common contro... 详细信息
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Discovering consensus patterns in biological databases
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1st international workshop on data mining and Bioinformatics
作者: ElTabakh, Mohamed Y. Aref, Walid G. Ouzzani, Mourad Ali, Mohamed H. Purdue Univ Dept Comp Sci W Lafayette IN 47906 USA Purdue Univ Cyber Ctr W Lafayette IN 47906 USA
Consensus patterns, like motifs and tandem repeats, are highly conserved patterns with very few substitutions where no gaps are allowed. In this paper, we present a progressive hierarchical clustering technique for di... 详细信息
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Automatic chord recognition from audio using a supervised HMM trained with audio-from-symbolic data
Automatic chord recognition from audio using a supervised HM...
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1st ACM workshop on Audio and Music Computing for Multimedia, AMCMM'06, co-located with the 2006 ACM international Multimedia Conference
作者: Lee, Kyogu Slaney, Malcolm Center for Computer Research in Music and Acoustics Music Department Stanford University Yahoo Research Sunnyvale CA 94089 United States
A novel approach for obtaining labeled training data is presented to directly estimate the model parameters in a supervised learning algorithm for automatic chord recognition from the raw audio. To this end, harmonic ... 详细信息
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