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ICML
2009
IEEE
14 years 8 months ago
Semi-supervised learning using label mean
Semi-Supervised Support Vector Machines (S3VMs) typically directly estimate the label assignments for the unlabeled instances. This is often inefficient even with recent advances ...
Yu-Feng Li, James T. Kwok, Zhi-Hua Zhou
ICDM
2008
IEEE
136views Data Mining» more  ICDM 2008»
14 years 2 months ago
Generalized Framework for Syntax-Based Relation Mining
Supervised approaches to Data Mining are particularly appealing as they allow for the extraction of complex relations from data objects. In order to facilitate their application i...
Bonaventura Coppola, Alessandro Moschitti, Daniele...
ICML
2007
IEEE
14 years 8 months ago
A dependence maximization view of clustering
We propose a family of clustering algorithms based on the maximization of dependence between the input variables and their cluster labels, as expressed by the Hilbert-Schmidt Inde...
Le Song, Alexander J. Smola, Arthur Gretton, Karst...
MICAI
2004
Springer
14 years 29 days ago
Faster Proximity Searching in Metric Data
A number of problems in computer science can be solved efficiently with the so called memory based or kernel methods. Among this problems (relevant to the AI community) are multime...
Edgar Chávez, Karina Figueroa
ACL
2006
13 years 9 months ago
Weakly Supervised Named Entity Transliteration and Discovery from Multilingual Comparable Corpora
Named Entity recognition (NER) is an important part of many natural language processing tasks. Current approaches often employ machine learning techniques and require supervised d...
Alexandre Klementiev, Dan Roth