ICML2007 & 自然言語処理
一年ぐらい更新をさぼってました。
書かないとだめですね。。
注目していた論文の名前がわからなくなってしまったりします。
自然言語で使えそう(?)なICML2007の論文をリストしてみます。
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構造予測する分類器で、Decoding を軽くするような話
On Learning Linear Ranking Functions for Beam Search
http://www.machinelearning.org/proceedings/icml2007/papers/168.pdf
CarpeDiem: an Algorithm for the Fast Evaluation of SSL Classifiers
http://www.machinelearning.org/proceedings/icml2007/papers/252.pdf
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同じタイプの学習器の比較と、Ensembleの話
Comparisons of Sequence Labeling Algorithms and Extensions
http://www.machinelearning.org/proceedings/icml2007/papers/206.pdf
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Domain Adaptaiton, 半教師付学習 関連
Two-view Feature Generation Model for Semi-supervised Learning
http://www.machinelearning.org/proceedings/icml2007/papers/154.pdf
Discriminative Learning for Differing Training and Test Distributions
http://www.machinelearning.org/proceedings/icml2007/papers/303.pdf
Experimental Perspectives on Learning from Imbalanced Data
http://www.machinelearning.org/proceedings/icml2007/papers/62.pdf
Boosting for Transfer Learning
http://www.machinelearning.org/proceedings/icml2007/papers/72.pdf
Uncovering Shared Structures in Multiclass Classification
http://www.machinelearning.org/proceedings/icml2007/papers/229.pdf
ICML2007 以外
Learning Multiple Related Tasks using Latent Independent Component Analysis
http://nyc.lti.cs.cmu.edu/yiming/Publications/zgy-nips05.pdf
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距離を学習する話
Information-Theoretic Metric Learning
http://www.machinelearning.org/proceedings/icml2007/papers/404.pdf
Learning Distance Function by Coding Similarity
http://www.machinelearning.org/proceedings/icml2007/papers/158.pdf
A Transductive Framework of Distance Metric Learning by Spectral Dimensionality Reduction
http://www.machinelearning.org/proceedings/icml2007/papers/219.pdf
ICML2007 以外
Toward Robust Distance Metric Analysis for Similarity Estimation
http://www-rocq.inria.fr/imedia/Articles/Toward_Robust_Distance_Metric_Analysis_for_Similarity_Estimation.pdf
Boosting Margin Based Distance Functions for Clustering
http://www.cs.huji.ac.il/~daphna/papers/distboost-icml.pdf
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距離を学習する話と分類問題の関係
On the Value of Pairwise Constraints in Classification and Consistency
http://www.machinelearning.org/proceedings/icml2007/papers/192.pdf
Optimal Dimensionality of Metric Space for Classification
http://www.machinelearning.org/proceedings/icml2007/papers/35.pdf
ICML2007 以外
Learning a Kernel Function for Classication with Small Training Samples
http://www.icml2006.org/icml_documents/camera-ready/051_Learning_a_Kernel_Fu.pdf
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テキスト関連のKernel
Fast and Effective Kernels for Relational Learning from Texts
http://www.machinelearning.org/proceedings/icml2007/papers/461.pdf
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Logistic Regression の最適化系統
Scalable Training of L1-regularized Log-linear Models
http://www.machinelearning.org/proceedings/icml2007/papers/449.pdf
Trust Region Newton Methods for Large-Scale Logistic Regression
http://www.machinelearning.org/proceedings/icml2007/papers/114.pdf
Exponentiated Gradient Algorithms for Log-Linear Structured Prediction
http://www.machinelearning.org/proceedings/icml2007/papers/472.pdf
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SVM の最適化系統
Pegasos: Primal Estimated sub-GrAdient SOlver for SVM
http://www.machinelearning.org/proceedings/icml2007/papers/587.pdf
http://www.cs.huji.ac.il/~shais/code/pegasos.tgz
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Non-parametric Bayses, Topic Models, Language Models など
Infinite Mixtures of Trees
http://www.machinelearning.org/proceedings/icml2007/papers/180.pdf
Unsupervised Estimation for Noisy-Channel Models
http://www.machinelearning.org/proceedings/icml2007/papers/225.pdf
Three New Graphical Models for Statistical Language Modelling
http://www.machinelearning.org/proceedings/icml2007/papers/425.pdf
Mixtures of Hierarchical Topics with Pachinko Allocation
http://www.machinelearning.org/proceedings/icml2007/papers/453.pdf
Unsupervised Prediction of Citation Influences
http://www.machinelearning.org/proceedings/icml2007/papers/257.pdf
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Online Learning 関連
Online Discovery of Similarity Mappings
http://www.machinelearning.org/proceedings/icml2007/papers/591.pdf
Winnowing Subspaces
http://www.machinelearning.org/proceedings/icml2007/papers/497.pdf
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ICML以外
Keyphrase Extraction using Semantic Networks Structure Analysis
http://www.jdl.ac.cn/user/chuang/paper/ICDM_Full.pdf
The Intelligent Surfer
http://research.microsoft.com/users/mattri/papers/nips2002/qd-pagerank.pdf
log(1+d^2) norm --- Cauchy distribution
http://www.stat.columbia.edu/~cook/movabletype/archives/2006/11/bayesian_infere_3.html