Sciweavers

966 search results - page 153 / 194
» A Two-Level Learning Method for Generalized Multi-instance P...
Sort
View
KDD
2006
ACM
115views Data Mining» more  KDD 2006»
16 years 2 months ago
Supervised probabilistic principal component analysis
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
ICDAR
2003
IEEE
15 years 7 months ago
Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis
Neural networks are a powerful technology for classification of visual inputs arising from documents. However, there is a confusing plethora of different neural network methods th...
Patrice Simard, David Steinkraus, John C. Platt
KDD
2004
ACM
207views Data Mining» more  KDD 2004»
16 years 2 months ago
Belief state approaches to signaling alarms in surveillance systems
Surveillance systems have long been used to monitor industrial processes and are becoming increasingly popular in public health and anti-terrorism applications. Most early detecti...
Kaustav Das, Andrew W. Moore, Jeff G. Schneider
BIBM
2008
IEEE
137views Bioinformatics» more  BIBM 2008»
15 years 9 months ago
Exploring Alternative Splicing Features Using Support Vector Machines
Alternative splicing is a mechanism for generating different gene transcripts (called isoforms) from the same genomic sequence. Finding alternative splicing events experimentally ...
Jing Xia, Doina Caragea, Susan Brown
AAAI
2007
15 years 4 months ago
COD: Online Temporal Clustering for Outbreak Detection
We present Cluster Onset Detection (COD), a novel algorithm to aid in detection of epidemic outbreaks. COD employs unsupervised learning techniques in an online setting to partiti...
Tomás Singliar, Denver Dash