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TCAD
2008
116views more  TCAD 2008»
15 years 6 months ago
Scalable Synthesis and Clustering Techniques Using Decision Diagrams
BDDs have proven to be an efficient means to represent and manipulate Boolean formulae [1] and sets [2] due to their compactness and canonicality. In this work, we leverage the eff...
Andrew C. Ling, Jianwen Zhu, Stephen Dean Brown
199
Voted
KDD
2008
ACM
150views Data Mining» more  KDD 2008»
16 years 7 months ago
Hypergraph spectral learning for multi-label classification
A hypergraph is a generalization of the traditional graph in which the edges are arbitrary non-empty subsets of the vertex set. It has been applied successfully to capture highord...
Liang Sun, Shuiwang Ji, Jieping Ye
181
Voted
ICML
2009
IEEE
16 years 7 months ago
Regularization and feature selection in least-squares temporal difference learning
We consider the task of reinforcement learning with linear value function approximation. Temporal difference algorithms, and in particular the Least-Squares Temporal Difference (L...
J. Zico Kolter, Andrew Y. Ng
EDBT
2004
ACM
142views Database» more  EDBT 2004»
16 years 6 months ago
Iterative Incremental Clustering of Time Series
We present a novel anytime version of partitional clustering algorithm, such as k-Means and EM, for time series. The algorithm works by leveraging off the multi-resolution property...
Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dim...
OPODIS
2010
15 years 4 months ago
Signature-Free Broadcast-Based Intrusion Tolerance: Never Decide a Byzantine Value
: Provide application processes with strong agreement guarantees despite failures is a fundamental problem of fault-tolerant distributed computing. Correct processes have not to be...
Achour Mostéfaoui, Michel Raynal