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KDD
2010
ACM
224views Data Mining» more  KDD 2010»
15 years 10 months ago
Multi-label learning by exploiting label dependency
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
Min-Ling Zhang, Kun Zhang
KDD
2010
ACM
327views Data Mining» more  KDD 2010»
15 years 10 months ago
Cold start link prediction
In the traditional link prediction problem, a snapshot of a social network is used as a starting point to predict, by means of graph-theoretic measures, the links that are likely ...
Vincent Leroy, Berkant Barla Cambazoglu, Francesco...
KDD
2010
ACM
282views Data Mining» more  KDD 2010»
15 years 10 months ago
Optimizing debt collections using constrained reinforcement learning
In this paper, we propose and develop a novel approach to the problem of optimally managing the tax, and more generally debt, collections processes at financial institutions. Our...
Naoki Abe, Prem Melville, Cezar Pendus, Chandan K....
ESTIMEDIA
2007
Springer
15 years 10 months ago
Still Image Processing on Coarse-Grained Reconfigurable Array Architectures
Due to the increasing demands on efficiency, performance and flexibility reconfigurable computational architectures are very promising candidates in embedded systems design. Recent...
Matthias Hartmann, Vasileios (Vassilis) Pantazis, ...
153
Voted
EXPCS
2007
15 years 10 months ago
Analysis of input-dependent program behavior using active profiling
Utility programs, which perform similar and largely independent operations on a sequence of inputs, include such common applications as compilers, interpreters, and document parse...
Xipeng Shen, Michael L. Scott, Chengliang Zhang, S...
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