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MIR
2005
ACM
129views Multimedia» more  MIR 2005»
15 years 3 months ago
Tracking concept drifting with an online-optimized incremental learning framework
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
Jun Wu, Dayong Ding, Xian-Sheng Hua, Bo Zhang
ETS
2007
IEEE
109views Hardware» more  ETS 2007»
15 years 3 months ago
Test Configurations for Diagnosing Faulty Links in NoC Switches
The paper proposes a new concept of diagnosing faulty links in Network-on-a-Chip (NoC) designs. The method is based on functional fault models and it implements packet address dri...
Jaan Raik, Raimund Ubar, Vineeth Govind
ALT
2002
Springer
15 years 6 months ago
The Complexity of Learning Concept Classes with Polynomial General Dimension
The general dimension is a combinatorial measure that characterizes the number of queries needed to learn a concept class. We use this notion to show that any p-evaluatable concep...
Johannes Köbler, Wolfgang Lindner
84
Voted
DLOG
1998
14 years 11 months ago
Learning Composite Concepts
This paper proposes a framework to learn concepts from di erent kinds of observations. We de ne a language to describe meta-concepts, that represent the sets of possible concepts ...
Patrick Lambrix, Pierpaolo Larocchia
SAC
2004
ACM
15 years 2 months ago
Patterns for blended, Person-Centered learning: strategy, concepts, experiences, and evaluation
: Within the last few years, e-learning has become a focal point in several universities and organizations. While much research has been devoted to producing econtent, describing i...
Michael Derntl, Renate Motschnig-Pitrik