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» Crime Data Mining: A General Framework and Some Examples
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KDD
2002
ACM
164views Data Mining» more  KDD 2002»
14 years 7 months ago
Meta-classification: Combining Multimodal Classifiers
Combining multiple classifiers is of particular interest in multimedia applications. Each modality in multimedia data can be analyzed individually, and combining multiple pieces of...
Wei-Hao Lin, Alexander G. Hauptmann
IDA
2006
Springer
13 years 7 months ago
Sequential patterns for text categorization
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
Simon Jaillet, Anne Laurent, Maguelonne Teisseire
NAACL
2003
13 years 8 months ago
Supervised and unsupervised PCFG adaptation to novel domains
This paper investigates adapting a lexicalized probabilistic context-free grammar (PCFG) to a novel domain, using maximum a posteriori (MAP) estimation. The MAP framework is gener...
Brian Roark, Michiel Bacchiani
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
11 years 9 months ago
Rank-loss support instance machines for MIML instance annotation
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
WWW
2009
ACM
14 years 8 months ago
How opinions are received by online communities: a case study on amazon.com helpfulness votes
There are many on-line settings in which users publicly express opinions. A number of these offer mechanisms for other users to evaluate these opinions; a canonical example is Ama...
Cristian Danescu-Niculescu-Mizil, Gueorgi Kossinet...