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140
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ICML
2005
IEEE
16 years 3 months ago
Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
Xiaojin Zhu, John D. Lafferty
114
Voted
ISMIR
2004
Springer
118views Music» more  ISMIR 2004»
15 years 7 months ago
Learning to Align Polyphonic Music
We describe an efficient learning algorithm for aligning a symbolic representation of a musical piece with its acoustic counterpart. Our method employs a supervised learning appr...
Shai Shalev-Shwartz, Joseph Keshet, Yoram Singer
111
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ACL
1998
15 years 3 months ago
A Generative Lexicon Perspective for Adjectival Modification
This paper presents a semantic interpretation of adjectival modification in terms of the Generative Lexicon. It highlights the elements which can be borrowed from the GL and devel...
Patrick Saint-Dizier
120
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KDD
2002
ACM
160views Data Mining» more  KDD 2002»
16 years 2 months ago
Scaling multi-class support vector machines using inter-class confusion
Support vector machines (SVMs) excel at two-class discriminative learning problems. They often outperform generative classifiers, especially those that use inaccurate generative m...
Shantanu Godbole, Sunita Sarawagi, Soumen Chakraba...
105
Voted
EMNLP
2010
15 years 6 days ago
Automatic Analysis of Rhythmic Poetry with Applications to Generation and Translation
We employ statistical methods to analyze, generate, and translate rhythmic poetry. We first apply unsupervised learning to reveal word-stress patterns in a corpus of raw poetry. W...
Erica Greene, Tugba Bodrumlu, Kevin Knight