2512 search results - page 272 / 503 » Learning from Highly Structured Data by Decomposition |
150
Voted
KES
2006
Springer
15 years 4 months ago
2006
Springer
Abstract. The aim of this work is to forecast future events in financial data sets, in particular, we focus our attention on situations where positive instances are rare, which fal...
109
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SP
2009
IEEE
15 years 11 months ago
2009
IEEE
In this paper, we study the degree to which a genomic string, Q, leaks details about itself any time it engages in comparison protocols with a genomic querier, Bob, even if those ...
144
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ATAL
2007
Springer
15 years 10 months ago
2007
Springer
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
164
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CG
1999
Springer
15 years 3 months ago
1999
Springer
Hybrid geometry- and image-based modeling and rendering systems use photographs taken of a real-world environment and mapped onto the surfaces of a 3D model to achieve photorealis...
158
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ICDM
2010
IEEE
15 years 2 months ago
2010
IEEE
Temporal causal modeling has been a highly active research area in the last few decades. Temporal or time series data arises in a wide array of application domains ranging from med...