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» Evaluating algorithms that learn from data streams
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AUSAI
2004
Springer
15 years 12 months ago
A Learning-Based Algorithm Selection Meta-reasoner for the Real-Time MPE Problem
Abstract. The algorithm selection problem aims to select the best algorithm for an input problem instance according to some characteristics of the instance. This paper presents a l...
Haipeng Guo, William H. Hsu
DKE
2008
100views more  DKE 2008»
15 years 6 months ago
PeRSSonal's core functionality evaluation: Enhancing text labeling through personalized summaries
In this manuscript we present the summarization and categorization subsystems of a complete mechanism that begins with web-page fetching and concludes with representation of the c...
Christos Bouras, Vassilis Poulopoulos, Vassilis Ts...
MM
2006
ACM
119views Multimedia» more  MM 2006»
16 years 13 days ago
Modelling dependency in multimedia streams
Expressing and analysing data dependency in multimedia streams is promising, since content-aware policies at a transport level would benefit from such services. In this paper we ...
Alexander Eichhorn
ICPR
2008
IEEE
16 years 7 months ago
A discrete-time parallel update algorithm for distributed learning
We present a distributed machine learning framework based on support vector machines that allows classification problems to be solved iteratively through parallel update algorithm...
Christian Bauckhage, Tansu Alpcan
COLING
1996
15 years 7 months ago
Decision Tree Learning Algorithm with Structured Attributes: Application to Verbal Case Frame Acquisition
The Decision Tree Learning Algorithms (DTLAs) are getting keen attention from the natural language processing research comlnunity, and there have been a series of attempts to appl...
Hideki Tanaka