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    ICMLA
    2008
    128views Machine Learning» more  ICMLA 2008»
    Distributed Optimization Strategies for Mining on Peer-to-Peer Networks
    13 years 9 months ago
    Distributed Optimization Strategies for Mining on Peer-to-Peer Networks
    Download  www1.ccls.columbia.edu
    Peer-to-peer (P2P) networks are distributed systems in which nodes of equal roles and capabilities exchange information and services directly with each other. In recent years, the...
    Haimonti Dutta, Ananda Matthur
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    ICMLA
    2008
    146views Machine Learning» more  ICMLA 2008»
    Multimodal Music Mood Classification Using Audio and Lyrics
    13 years 9 months ago
    Multimodal Music Mood Classification Using Audio and Lyrics
    Download  mtg.upf.edu
    In this paper we present a study on music mood classification using audio and lyrics information. The mood of a song is expressed by means of musical features but a relevant part ...
    Cyril Laurier, Jens Grivolla, Perfecto Herrera
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    ICMLA
    2008
    149views Machine Learning» more  ICMLA 2008»
    Microarray Classification from Several Two-Gene Expression Comparisons
    13 years 9 months ago
    Microarray Classification from Several Two-Gene Expression Comparisons
    Download  www.cis.jhu.edu
    We describe our contribution to the ICMLA2008 "Automated Micro-Array Classification Challenge". The design of our classifier is motivated by the special scenario encounte...
    Donald Geman, Bahman Afsari, Aik Choon Tan, Daniel...
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    ICMLA
    2008
    131views Machine Learning» more  ICMLA 2008»
    Text Classification Using Tree Kernels and Linguistic Information
    13 years 9 months ago
    Text Classification Using Tree Kernels and Linguistic Information
    Download  www.di.uevora.pt
    Standard Machine Learning approaches to text classification use the bag-of-words representation of documents to deceive the classification target function. Typical linguistic stru...
    Teresa Gonçalves, Paulo Quaresma
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    ICMLA
    2008
    113views Machine Learning» more  ICMLA 2008»
    Group Testing in the Development of an Expanded Cancer Staging System
    13 years 9 months ago
    Group Testing in the Development of an Expanded Cancer Staging System
    Download  www.ibe.gwu.edu
    Though the TNM (Tumor, Lymph Node, Metastasis) is a widely used staging system for predicting the outcome of cancer patients, it is limited in prediction mainly because it does no...
    Dechang Chen, Kai Xing, Donald Henson, Li Sheng
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    ICMLA
    2008
    128views Machine Learning» more  ICMLA 2008»
    Cancer Profiles by Affinity Propagation
    13 years 9 months ago
    Cancer Profiles by Affinity Propagation
    Download  ima.ac.uk
    : The affinity propagation algorithm is applied to various problems of breast and cutaneous tumours subtyping using traditional biologic markers. The algorithm provides a procedure...
    Federico Ambrogi, Elena Raimondi, Daniele Soria, P...
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    ICMLA
    2008
    110views Machine Learning» more  ICMLA 2008»
    A Clustering Approach in Developing Prognostic Systems of Cancer Patients
    13 years 9 months ago
    A Clustering Approach in Developing Prognostic Systems of Cancer Patients
    Download  www.ibe.gwu.edu
    Accurate prediction of survival rates of cancer patients is often key to stratify patients for prognosis and treatment. Survival prediction is often accomplished by the TNM system...
    Dechang Chen, Kai Xing, Donald Henson, Li Sheng, A...
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    ICMLA
    2008
    139views Machine Learning» more  ICMLA 2008»
    Adaptive Control of Antilock Braking System Using Grey Multilayer Feedforward Neural Networks
    13 years 9 months ago
    Adaptive Control of Antilock Braking System Using Grey Multilayer Feedforward Neural Networks
    Download  mecha.ee.boun.edu.tr
    In this paper, a grey neuro-adaptive control algorithm is suggested for Antilock Braking Systems (ABS). The concept of grey system theory, which has a certain prediction capabilit...
    Erdal Kayacan, Yesim Oniz, Okyay Kaynak, Andon V. ...
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    ICMLA
    2008
    139views Machine Learning» more  ICMLA 2008»
    Inferring Sparse Kernel Combinations and Relevance Vectors: An Application to Subcellular Localization of Proteins
    13 years 9 months ago
    Inferring Sparse Kernel Combinations and Relevance Vectors: An Application to Subcellular Localization of Proteins
    Download  eprints.pascal-network.org
    In this paper, we introduce two new formulations for multi-class multi-kernel relevance vector machines (mRVMs) that explicitly lead to sparse solutions, both in samples and in nu...
    Theodoros Damoulas, Yiming Ying, Mark A. Girolami,...
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    ICMLA
    2008
    93views Machine Learning» more  ICMLA 2008»
    Target Selection: A New Learning Paradigm and Its Application to Genetic Association Studies
    13 years 9 months ago
    Target Selection: A New Learning Paradigm and Its Application to Genetic Association Studies
    Download  user.cs.tu-berlin.de
    In this work, a new learning paradigm called target selection is proposed, which can be used to test for associations between a single genetic variable and a multidimensional, qua...
    Johannes Mohr, Sambu Seo, Imke Puis, Andreas Heinz...
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