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KDD
1997
ACM
154views Data Mining» more  KDD 1997»
14 years 3 days ago
Autonomous Discovery of Reliable Exception Rules
This paper presents an autonomous algorithm for discovering exception rules from data sets. An exception rule, which is defined as a deviational pattern to a well-known fact, exhi...
Einoshin Suzuki
PKDD
2010
Springer
313views Data Mining» more  PKDD 2010»
13 years 7 months ago
Topic Modeling for Personalized Recommendation of Volatile Items
One of the major strengths of probabilistic topic modeling is the ability to reveal hidden relations via the analysis of co-occurrence patterns on dyadic observations, such as docu...
Maks Ovsjanikov, Ye Chen
KDD
2004
ACM
154views Data Mining» more  KDD 2004»
14 years 9 months ago
Diagnosing extrapolation: tree-based density estimation
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Giles Hooker
AAAI
2008
13 years 11 months ago
A Fast Data Collection and Augmentation Procedure for Object Recognition
When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...
Benjamin Sapp, Ashutosh Saxena, Andrew Y. Ng
CSEE
2000
Springer
14 years 27 days ago
Technology Transfer Issues for Formal Methods of Software Specification
Accurate and complete requirements specifications are crucial for the design and implementation of high-quality software. Unfortunately, the articulation and verification of softw...
Ken Abernethy, John C. Kelly, Ann E. Kelley Sobel,...