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» Measuring Complexity of Intelligent Machines
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ALT
2007
Springer
15 years 4 months ago
On Universal Transfer Learning
In transfer learning the aim is to solve new learning tasks using fewer examples by using information gained from solving related tasks. Existing transfer learning methods have be...
M. M. Hassan Mahmud
KDD
2007
ACM
149views Data Mining» more  KDD 2007»
15 years 10 months ago
Partial example acquisition in cost-sensitive learning
It is often expensive to acquire data in real-world data mining applications. Most previous data mining and machine learning research, however, assumes that a fixed set of trainin...
Victor S. Sheng, Charles X. Ling
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
15 years 10 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
SIGMOD
2007
ACM
132views Database» more  SIGMOD 2007»
15 years 10 months ago
A dynamic and flexible sensor network platform
SwissQM is a novel sensor network platform for acquiring data from the real world. Instead of statically hand-crafted programs, SwissQM is a virtual machine capable of executing b...
Donald Kossmann, Gustavo Alonso, Jan S. Rellermeye...
CIKM
2004
Springer
15 years 1 months ago
InfoAnalyzer: a computer-aided tool for building enterprise taxonomies
In this paper we study the problem of collecting training samples for building enterprise taxonomies. We develop a computer-aided tool named InfoAnalyzer, which can effectively as...
Li Zhang, Shixia Liu, Yue Pan, Liping Yang