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» A Framework for Multiple-Instance Learning
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ICML
2006
IEEE
16 years 5 months ago
Cost-sensitive learning with conditional Markov networks
There has been a recent, growing interest in classification and link prediction in structured domains. Methods such as conditional random fields and relational Markov networks sup...
Prithviraj Sen, Lise Getoor
161
Voted
ECIR
2009
Springer
16 years 1 months ago
Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve
Abstract. Learning ranking functions is crucial for solving many problems, ranging from document retrieval to building recommendation systems based on an individual user’s prefer...
Pinar Donmez, Jaime G. Carbonell
CVPR
2010
IEEE
16 years 14 days ago
Data Fusion through Cross-modality Metric Learning using Similarity-Sensitive Hashing
Visual understanding is often based on measuring similarity between observations. Learning similarities specific to a certain perception task from a set of examples has been show...
Michael Bronstein, Alexander Bronstein, Nikos Para...
BPM
2009
Springer
119views Business» more  BPM 2009»
15 years 11 months ago
A Formal Model for Process Context Learning
Process models are considered to be a major asset in modern business organizations. They are expected to apply to all the possible business contexts in which the process may be exe...
Johny Ghattas, Pnina Soffer, Mor Peleg
ICAC
2007
IEEE
15 years 10 months ago
Autonomic Reactive Systems via Online Learning
— Reactive systems are those that maintain an ongoing interaction with their environment at a speed dictated by the latter. Examples of such systems include web servers, network ...
Sanjit A. Seshia