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» On learning algorithm selection for classification
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ACSC
2003
IEEE
15 years 7 months ago
A Comparative Study for Domain Ontology Guided Feature Extraction
We introduced a novel method employing a hierarchical domain ontology structure to extract features representing documents in our previous publication (Wang 2002). All raw words i...
Bill B. Wang, Robert I. McKay, Hussein A. Abbass, ...
CASES
2007
ACM
15 years 6 months ago
Non-transparent debugging for software-pipelined loops
This paper tackles the problem of providing correct information about program variable values in a software-pipelined loop through a non-transparent debugging approach. Since mode...
Hugo Venturini, Frédéric Riss, Jean-...
173
Voted
MICAI
2010
Springer
15 years 2 days ago
Automatic Image Annotation Using Multiple Grid Segmentation
Abstract. Automatic image annotation refers to the process of automatically labeling an image with a predefined set of keywords. Image annotation is an important step of content-ba...
Gerardo Arellano, Luis Enrique Sucar, Eduardo F. M...
228
Voted
POPL
2007
ACM
16 years 2 months ago
Program verification as probabilistic inference
In this paper, we propose a new algorithm for proving the validity or invalidity of a pre/postcondition pair for a program. The algorithm is motivated by the success of the algori...
Sumit Gulwani, Nebojsa Jojic
SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
15 years 3 months ago
Predictive Modeling with Heterogeneous Sources
Lack of labeled training examples is a common problem for many applications. In the same time, there is usually an abundance of labeled data from related tasks. But they have diff...
Xiaoxiao Shi, Qi Liu, Wei Fan, Qiang Yang, Philip ...