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HICSS
2006
IEEE
163views Biometrics» more  HICSS 2006»
16 years 20 days ago
Learning Ranking vs. Modeling Relevance
The classical (ad hoc) document retrieval problem has been traditionally approached through ranking according to heuristically developed functions (such as tf.idf or bm25) or gene...
Dmitri Roussinov, Weiguo Fan
UM
2010
Springer
15 years 10 months ago
Ranking Feature Sets for Emotion Models Used in Classroom Based Intelligent Tutoring Systems
Abstract. Recent progress has been made by using sensors with Intelligent Tutoring Systems in classrooms in order to predict the affective state of students users. If tutors are a...
David G. Cooper, Kasia Muldner, Ivon Arroyo, Bever...
ICAIL
2007
ACM
15 years 10 months ago
Opinion mining in legal blogs
We perform a survey into the scope and utility of opinion mining in legal Weblogs (a.k.a. blawgs). The number of `blogs' in the legal domain is growing at a rapid pace and ma...
Jack G. Conrad, Frank Schilder
PLDI
2011
ACM
14 years 9 months ago
Finding and understanding bugs in C compilers
Compilers should be correct. To improve the quality of C compilers, we created Csmith, a randomized test-case generation tool, and spent three years using it to find compiler bug...
Xuejun Yang, Yang Chen, Eric Eide, John Regehr
KDD
2010
ACM
247views Data Mining» more  KDD 2010»
15 years 8 months ago
Metric forensics: a multi-level approach for mining volatile graphs
Advances in data collection and storage capacity have made it increasingly possible to collect highly volatile graph data for analysis. Existing graph analysis techniques are not ...
Keith Henderson, Tina Eliassi-Rad, Christos Falout...