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CORR
2011
Springer
174views Education» more  CORR 2011»
12 years 12 months ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato
ISCA
2011
IEEE
270views Hardware» more  ISCA 2011»
12 years 11 months ago
Sampling + DMR: practical and low-overhead permanent fault detection
With technology scaling, manufacture-time and in-field permanent faults are becoming a fundamental problem. Multi-core architectures with spares can tolerate them by detecting an...
Shuou Nomura, Matthew D. Sinclair, Chen-Han Ho, Ve...
WSDM
2012
ACM
309views Data Mining» more  WSDM 2012»
12 years 3 months ago
Mining contrastive opinions on political texts using cross-perspective topic model
This paper presents a novel opinion mining research problem, which is called Contrastive Opinion Modeling (COM). Given any query topic and a set of text collections from multiple ...
Yi Fang, Luo Si, Naveen Somasundaram, Zhengtao Yu
KDD
2012
ACM
202views Data Mining» more  KDD 2012»
11 years 10 months ago
UFIMT: an uncertain frequent itemset mining toolbox
In recent years, mining frequent itemsets over uncertain data has attracted much attention in the data mining community. Unlike the corresponding problem in deterministic data, th...
Yongxin Tong, Lei Chen 0002, Philip S. Yu

Book
747views
15 years 4 months ago
Data Structures and Algorithms with Object-Oriented Design Patterns in C++
"This book is about the fundamentals of data structures and algorithms--the basic elements from which large and complex software artifacts are built. To develop a solid unders...
Bruno R. Preiss