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» Evaluating algorithms that learn from data streams
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AUSAI
2004
Springer
16 years 16 days 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 7 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 1 months 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 8 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 8 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