2252 search results - page 24 / 451 » A distributed machine learning framework |
FLAIRS
2006
15 years 1 months ago
2006
In this paper, we propose a novel framework for extractive summarization. Our framework allows the summarizer to adapt and improve itself. Experimental results show that our summa...
ICML
2008
IEEE
16 years 17 days ago
2008
IEEE
We introduce a learning framework that combines elements of the well-known PAC and mistake-bound models. The KWIK (knows what it knows) framework was designed particularly for its...
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ICALT
2006
IEEE
15 years 5 months ago
2006
IEEE
In this paper we propose a schema and framework for recording and managing attention metadata. This framework is intended to capture, manage, and re-use data about attention users...
114
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ECML
2004
Springer
15 years 5 months ago
2004
Springer
The standard framework of machine learning problems assumes that the available data is independent and identically distributed (i.i.d.). However, in some applications such as image...
ICML
2004
IEEE
15 years 5 months ago
2004
IEEE
The paper is concerned with two-class active learning. While the common approach for collecting data in active learning is to select samples close to the classification boundary,...