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» An Instance Selection Approach to Multiple Instance Learning
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ITS
2000
Springer
94views Multimedia» more  ITS 2000»
15 years 1 months ago
DT Tutor: A Decision-Theoretic, Dynamic Approach for Optimal Selection of Tutorial Actions
DT Tutor uses a decision-theoretic approach to select tutorial actions for coached problem solving that are optimal given the tutor's beliefs and objectives. It employs a mode...
R. Charles Murray, Kurt VanLehn
VLDB
1998
ACM
147views Database» more  VLDB 1998»
15 years 2 months ago
Architecture of Oracle Parallel Server
Oracle Parallel Server (OPS) is a shared disk RDBMS. We present a high level overview of the main architectural issues of OPS and their evolution throughout the releases of the Or...
Roger Bamford, D. Butler, Boris Klots, N. MacNaugh...
JVM
2004
132views Education» more  JVM 2004»
14 years 11 months ago
Solaris Zones: Operating System Support for Server Consolidation
e a new operating system abstraction for partitioning systems, allowing multiple applications to run in isolation from each other on the same physical hardware. This isolation prev...
Andrew Tucker, David Comay
ICIG
2009
IEEE
15 years 4 months ago
A PLSA-Based Semantic Bag Generator with Application to Natural Scene Classification under Multi-instance Multi-label Learning F
Classifying natural scenes into semantic categories has always been a challenging task. So far, many works in this field are primarily intended for single label classification, wh...
Shuangping Huang, Lianwen Jin
UAI
2008
14 years 11 months ago
Multi-View Learning over Structured and Non-Identical Outputs
In many machine learning problems, labeled training data is limited but unlabeled data is ample. Some of these problems have instances that can be factored into multiple views, ea...
Kuzman Ganchev, João Graça, John Bli...