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97
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ICDM
2008
IEEE
102views Data Mining» more  ICDM 2008»
15 years 8 months ago
A Non-parametric Semi-supervised Discretization Method
Semi-supervised classification methods aim to exploit labelled and unlabelled examples to train a predictive model. Most of these approaches make assumptions on the distribution ...
Alexis Bondu, Marc Boullé, Vincent Lemaire,...
105
Voted
NIPS
2007
15 years 3 months ago
A general agnostic active learning algorithm
We present a simple, agnostic active learning algorithm that works for any hypothesis class of bounded VC dimension, and any data distribution. Our algorithm extends a scheme of C...
Sanjoy Dasgupta, Daniel Hsu, Claire Monteleoni
125
Voted
CVPR
2010
IEEE
15 years 10 months ago
Naming People from Dialog: Temporal Grouping and Weak Supervision
We address the character identification problem in movies and television videos: assigning names to faces on the screen. Most prior work on person recognition in video assumes s...
Timothee Cour, Benjamin Sapp, Akash Nagle, Ben Tas...
125
Voted
MLDM
2005
Springer
15 years 7 months ago
Supervised Evaluation of Dataset Partitions: Advantages and Practice
In the context of large databases, data preparation takes a greater importance : instances and explanatory attributes have to be carefully selected. In supervised learning, instanc...
Sylvain Ferrandiz, Marc Boullé
AIIA
2007
Springer
15 years 8 months ago
A Tree Kernel-Based Shallow Semantic Parser for Thematic Role Extraction
We present a simple, two-steps supervised strategy for the identification and classification of thematic roles in natural language texts. We employ no external source of informat...
Daniele Pighin, Alessandro Moschitti