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» Results Merging Algorithm Using Multiple Regression Models
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CORR
2011
Springer
183views Education» more  CORR 2011»
14 years 9 months ago
Sparse Signal Recovery with Temporally Correlated Source Vectors Using Sparse Bayesian Learning
— We address the sparse signal recovery problem in the context of multiple measurement vectors (MMV) when elements in each nonzero row of the solution matrix are temporally corre...
Zhilin Zhang, Bhaskar D. Rao
PVLDB
2010
89views more  PVLDB 2010»
15 years 1 months ago
Recognizing Patterns in Streams with Imprecise Timestamps
Large-scale event systems are becoming increasingly popular in a variety of domains. Event pattern evaluation plays a key role in monitoring applications in these domains. Existin...
Haopeng Zhang, Yanlei Diao, Neil Immerman
EMNLP
2011
14 years 2 months ago
Compositional Matrix-Space Models for Sentiment Analysis
We present a general learning-based approach for phrase-level sentiment analysis that adopts an ordinal sentiment scale and is explicitly compositional in nature. Thus, we can mod...
Ainur Yessenalina, Claire Cardie
TC
2010
14 years 9 months ago
Performability Analysis of Multistate Computing Systems Using Multivalued Decision Diagrams
A distinct characteristic of multistate systems (MSS) is that the systems and/or their components may exhibit multiple performance levels (or states) varying from perfect operation...
Suprasad V. Amari, Liudong Xing, Akhilesh Shrestha...
PODS
2009
ACM
100views Database» more  PODS 2009»
16 years 3 months ago
Space-optimal heavy hitters with strong error bounds
The problem of finding heavy hitters and approximating the frequencies of items is at the heart of many problems in data stream analysis. It has been observed that several propose...
Radu Berinde, Graham Cormode, Piotr Indyk, Martin ...