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» Learning conditional preference networks
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JMLR
2008
230views more  JMLR 2008»
13 years 7 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
SIGMOD
2009
ACM
189views Database» more  SIGMOD 2009»
14 years 7 months ago
Query segmentation using conditional random fields
A growing mount of available text data are being stored in relational databases, giving rise to an increasing need for the RDBMSs to support effective text retrieval. In this pape...
Xiaohui Yu, Huxia Shi
VVEIS
2008
13 years 9 months ago
The Linear Conditional Probability Matrix Generator for IT Governance Performance Prediction
The goal of IT governance is not only to achieve internal efficiency in an IT organization, but also to support IT's role as a business enabler. The latter is here denoted IT ...
Mårten Simonsson, Robert Lagerström, Po...
SIGECOM
2003
ACM
122views ECommerce» more  SIGECOM 2003»
14 years 23 days ago
On polynomial-time preference elicitation with value queries
Preference elicitation — the process of asking queries to determine parties’ preferences — is a key part of many problems in electronic commerce. For example, a shopping age...
Martin Zinkevich, Avrim Blum, Tuomas Sandholm
PRIMA
2009
Springer
14 years 2 months ago
Designing a Two-Sided Matching Protocol under Asymmetric Information
Abstract. We have developed a new two-sided matching protocol including job applicants and employers in the condition that applicants have conditional preferences and well informed...
Masanori Hatanaka, Shigeo Matsubara