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» MILIS: Multiple Instance Learning with Instance Selection
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CVPR
2010
IEEE
15 years 10 months ago
Breaking the interactive bottleneck in multi-class classification with active selection and binary feedback
Multi-class classification schemes typically require human input in the form of precise category names or numbers for each example to be annotated – providing this can be impra...
Ajay Joshi, Fatih Porikli, Nikolaos Papanikolopoul...
SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
15 years 3 months ago
Semi-supervised Feature Selection via Spectral Analysis
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
Zheng Zhao, Huan Liu
NAACL
2007
15 years 3 months ago
A Systematic Exploration of the Feature Space for Relation Extraction
Relation extraction is the task of finding semantic relations between entities from text. The state-of-the-art methods for relation extraction are mostly based on statistical lea...
Jing Jiang, ChengXiang Zhai
SIGMOD
2010
ACM
171views Database» more  SIGMOD 2010»
15 years 6 months ago
Variance aware optimization of parameterized queries
Parameterized queries are commonly used in database applications. In a parameterized query, the same SQL statement is potentially executed multiple times with different parameter ...
Surajit Chaudhuri, Hongrae Lee, Vivek R. Narasayya
AAAI
2006
15 years 3 months ago
Distributed Interactive Learning in Multi-Agent Systems
Both explanation-based and inductive learning techniques have proven successful in a variety of distributed domains. However, learning in multi-agent systems does not necessarily ...
Jian Huang, Adrian R. Pearce