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ILP
2003
Springer
15 years 12 months ago
Disjunctive Learning with a Soft-Clustering Method
In the case of concept learning from positive and negative examples, it is rarely possible to find a unique discriminating conjunctive rule; in most cases, a disjunctive descripti...
Guillaume Cleuziou, Lionel Martin, Christel Vrain
MICRO
2010
IEEE
210views Hardware» more  MICRO 2010»
15 years 4 months ago
Thread Cluster Memory Scheduling: Exploiting Differences in Memory Access Behavior
In a modern chip-multiprocessor system, memory is a shared resource among multiple concurrently executing threads. The memory scheduling algorithm should resolve memory contention...
Yoongu Kim, Michael Papamichael, Onur Mutlu, Mor H...
MICRO
2011
IEEE
407views Hardware» more  MICRO 2011»
15 years 1 months ago
Thread Cluster Memory Scheduling
In a modern chip-multiprocessor system, memory is a shared resource among multiple concurrently executing threads. The memory scheduling algorithm should resolve memory contention...
Yoongu Kim, Michael Papamichael, Onur Mutlu, Mor H...
ISCIS
2009
Springer
16 years 1 months ago
Unsupervised learning of affordance relations on a humanoid robot
—In this paper, we study how a humanoid robot can learn affordance relations in his environment through its own interactions in an unsupervised way. Specifically, we developed a...
Baris Akgun, Nilgun Dag, Tahir Bilal, Ilkay Atil, ...
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
16 years 6 days ago
Combining partitions by probabilistic label aggregation
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
Tilman Lange, Joachim M. Buhmann