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ICML
2002
IEEE
16 years 2 months ago
Multi-Instance Kernels
Learning from structured data is becoming increasingly important. However, most prior work on kernel methods has focused on learning from attribute-value data. Only recently, rese...
Adam Kowalczyk, Alex J. Smola, Peter A. Flach, Tho...
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
16 years 2 months ago
Markov Blankets and Meta-heuristics Search: Sentiment Extraction from Unstructured Texts
Extracting sentiments from unstructured text has emerged as an important problem in many disciplines. An accurate method would enable us, for example, to mine online opinions from ...
Edoardo Airoldi, Xue Bai, Rema Padman
BIOTECHNO
2008
IEEE
15 years 8 months ago
Combining Boundaries and Ratings from Multiple Observers for Predicting Lung Nodule Characteristics
We use the data collected by the Lung Image Database Consortium (LIDC) for modeling the radiologists’ nodule interpretations based on image content of the nodule by using decisi...
Ekarin Varutbangkul, Vesna Mitrovic, Daniela Stan ...
ITICSE
2003
ACM
15 years 7 months ago
Observations from using two modes of teaching undergraduate computer architecture
The authors present observations from using two modes of teaching undergraduate computer architecture. Two sections were taught differently: one section was taught using a traditi...
Benjoe A. Juliano, Chi-Hui Chen, Elena Kroumova
SIGIR
2009
ACM
15 years 8 months ago
Extracting structured information from user queries with semi-supervised conditional random fields
When search is against structured documents, it is beneficial to extract information from user queries in a format that is consistent with the backend data structure. As one step...
Xiao Li, Ye-Yi Wang, Alex Acero