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KDD
2010
ACM
257views Data Mining» more  KDD 2010»
15 years 11 months ago
Multi-task learning for boosting with application to web search ranking
In this paper we propose a novel algorithm for multi-task learning with boosted decision trees. We learn several different learning tasks with a joint model, explicitly addressing...
Olivier Chapelle, Pannagadatta K. Shivaswamy, Srin...
ECML
2006
Springer
15 years 10 months ago
Active Learning with Irrelevant Examples
Abstract. Active learning algorithms attempt to accelerate the learning process by requesting labels for the most informative items first. In real-world problems, however, there ma...
Dominic Mazzoni, Kiri Wagstaff, Michael C. Burl
AAAI
2008
15 years 9 months ago
Online Learning in Monkeys
We examine online learning in the context of the Wisconsin Card Sorting Task (WCST), a task for which the concept acquisition strategies for human and other primates are well docu...
Xiaojin Zhu, Michael Coen, Shelley Prudom, Ricki C...
AAAI
2008
15 years 9 months ago
Examining Difficulties Software Developers Encounter in the Adoption of Statistical Machine Learning
Statistical machine learning continues to show promise as a tool for addressing complex problems in a variety of domains. An increasing number of developers are therefore looking ...
Kayur Patel, James Fogarty, James A. Landay, Bever...
ASPDAC
2004
ACM
72views Hardware» more  ASPDAC 2004»
16 years 17 days ago
Exploiting state encoding for invariant generation in induction-based property checking
— This paper focuses on checking safety properties for sequential circuits specified on the RTlevel. We study how different state encodings can be used to create a gate-level r...
Markus Wedler, Dominik Stoffel, Wolfgang Kunz