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ICML
2010
IEEE
15 years 6 months ago
Gaussian Processes Multiple Instance Learning
This paper proposes a multiple instance learning (MIL) algorithm for Gaussian processes (GP). The GP-MIL model inherits two crucial benefits from GP: (i) a principle manner of lea...
Minyoung Kim, Fernando De la Torre
164
Voted
INFORMATICALT
2008
162views more  INFORMATICALT 2008»
15 years 5 months ago
Vague Rough Set Techniques for Uncertainty Processing in Relational Database Model
Abstract. The study of databases began with the design of efficient storage and data sharing techniques for large amount of data. This paper concerns the processing of imprecision ...
Karan Singh, Samajh Singh Thakur, Mangi Lal
202
Voted
JODS
2008
424views Data Mining» more  JODS 2008»
15 years 5 months ago
Semantically Processing Parallel Colour Descriptions
Information integration and retrieval are useful tasks in many information systems. In these systems, it is far from an easy task to directly integrate information from natural lan...
Shenghui Wang, Jeff Z. Pan
DEDS
2007
104views more  DEDS 2007»
15 years 5 months ago
Trellis Processes : A Compact Representation for Runs of Concurrent Systems
The unfolding of a concurrent system represents in a compact manner all possible runs of this system. Unfoldings are used in many applications, ranging from model-checking (offlin...
Eric Fabre
ISCI
2000
84views more  ISCI 2000»
15 years 4 months ago
Automating the approximate record-matching process
Data Quality has many dimensions one of which is accuracy. Accuracy is usually compromised by errors accidentally or intensionally introduced in a database system. These errors re...
Vassilios S. Verykios, Ahmed K. Elmagarmid, Elias ...