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FLAIRS
2001
13 years 5 months ago
Improving Knowledge-Based System Performance by Reordering Rule Sequences
In this paper, we argue that KBS validation should not be limited to testing functional properties of the system, such as its input - output behavior, but must also address its dy...
Neli Zlatareva
DIS
2004
Springer
13 years 10 months ago
On the Convergence of Incremental Knowledge Base Construction.
Abstract. Ripple Down Rules is a practical methodology to build knowledgebased systems, which has proved successful in a wide range of commercial applications. However, little work...
Tri M. Cao, Eric Martin, Paul Compton
IALP
2009
13 years 2 months ago
Improved Reordering Rules for Hierarchical Phrase-Based Translation
Hierarchical phrase-based translation model has been proven to be a simple and powerful machine translation model. However, due to the computational complexity constraints, the ext...
Shu Cai, Yajuan Lü, Qun Liu
JCIT
2008
124views more  JCIT 2008»
13 years 4 months ago
A Knowledge based Approach Using Fuzzy Inference Rules for Vowel Recognition
Automatic speech recognition by machine is one of the most efficient methods for man-machine communications. Because speech waveform is nonlinear and variant. Speech recognition r...
Hrudaya K. Tripathy, B. K. Tripathy, Pradip K. Das
RTCSA
2008
IEEE
13 years 11 months ago
Efficient Query Processing for Tracing RFID Tags by Reordering Location Identifiers
This paper addresses the problem of using the Location IDentifier (LID) as the domain value of the index for trajectories of RFID tags and proposes the solution for solving this p...
Sungwoo Ahn, Bonghee Hong