13476 search results - page 534 / 2696 » Learning from Streams |
237
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ML
2010
ACM
15 years 1 months ago
2010
ACM
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
180
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COLT
2003
Springer
16 years 5 days ago
2003
Springer
Abstract. We study the problem of learning partitions using equivalence constraints as input. This is a binary classification problem in the product space of pairs of datapoints. ...
212
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AAAI
2006
15 years 8 months ago
2006
As robots become a mass consumer product, they will need to learn new skills by interacting with typical human users. Past approaches have adapted reinforcement learning (RL) to a...
158
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WWW
2003
ACM
16 years 7 months ago
2003
ACM
Providing video on demand (VoD) service over the Internet in a scalable way is a challenging problem. In this paper, we propose P2Cast - an architecture that uses a peer-to-peer a...
219
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SIGMOD
2004
ACM
16 years 7 months ago
2004
ACM
Data items archived in data warehouses or those that arrive online as streams typically have attributes which take values from multiple hierarchies (e.g., time and geographic loca...