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ICDM
2005
IEEE
151views Data Mining» more  ICDM 2005»
15 years 3 months ago
A Framework for Semi-Supervised Learning Based on Subjective and Objective Clustering Criteria
In this paper, we propose a semi-supervised framework for learning a weighted Euclidean subspace, where the best clustering can be achieved. Our approach capitalizes on user-const...
Maria Halkidi, Dimitrios Gunopulos, Nitin Kumar, M...
AIME
2007
Springer
15 years 4 months ago
Machine Learning Techniques for Decision Support in Anesthesia
Abstract. The growing availability of measurement devices in the operating room enables the collection of a huge amount of data about the state of the patient and the doctors’ pr...
Olivier Caelen, Gianluca Bontempi, Luc Barvais
NAACL
2007
14 years 11 months ago
A Cascaded Machine Learning Approach to Interpreting Temporal Expressions
A new architecture for identifying and interpreting temporal expressions is introduced, in which the large set of complex hand-crafted rules standard in systems for this task is r...
David Ahn, Joris van Rantwijk, Maarten de Rijke
SIGMOD
2012
ACM
232views Database» more  SIGMOD 2012»
13 years 14 days ago
Large-scale machine learning at twitter
The success of data-driven solutions to difficult problems, along with the dropping costs of storing and processing massive amounts of data, has led to growing interest in largesc...
Jimmy Lin, Alek Kolcz
KDD
2006
ACM
113views Data Mining» more  KDD 2006»
15 years 10 months ago
A new efficient probabilistic model for mining labeled ordered trees
Mining frequent patterns is a general and important issue in data mining. Complex and unstructured (or semi-structured) datasets have appeared in major data mining applications, i...
Kosuke Hashimoto, Kiyoko F. Aoki-Kinoshita, Nobuhi...