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KDD
2009
ACM
202views Data Mining» more  KDD 2009»
14 years 9 months ago
Correlated itemset mining in ROC space: a constraint programming approach
Correlated or discriminative pattern mining is concerned with finding the highest scoring patterns w.r.t. a correlation measure (such as information gain). By reinterpreting corre...
Siegfried Nijssen, Tias Guns, Luc De Raedt
KDD
2007
ACM
132views Data Mining» more  KDD 2007»
14 years 9 months ago
A scalable modular convex solver for regularized risk minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanatha...
STOC
2006
ACM
166views Algorithms» more  STOC 2006»
14 years 9 months ago
New upper and lower bounds for randomized and quantum local search
Local Search problem, which finds a local minimum of a black-box function on a given graph, is of both practical and theoretical importance to combinatorial optimization, complexi...
Shengyu Zhang
ISM
2008
IEEE
111views Multimedia» more  ISM 2008»
14 years 3 months ago
Secure and Low Cost Selective Encryption for JPEG2000
Selective encryption is a new trend in content protection. It aims at reducing the amount of data to encrypt while achieving a sufficient and inexpensive security. This approach ...
Ayoub Massoudi, Frédéric Lefè...
ECML
2007
Springer
14 years 3 months ago
Scale-Space Based Weak Regressors for Boosting
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
Jin Hyeong Park, Chandan K. Reddy