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AAAI
2006
13 years 10 months ago
Learning Partially Observable Action Models: Efficient Algorithms
We present tractable, exact algorithms for learning actions' effects and preconditions in partially observable domains. Our algorithms maintain a propositional logical repres...
Dafna Shahaf, Allen Chang, Eyal Amir
TPDS
1998
125views more  TPDS 1998»
13 years 8 months ago
An Efficient Dynamic Scheduling Algorithm For Multiprocessor Real-Time Systems
—Many time-critical applications require predictable performance and tasks in these applications have deadlines to be met. In this paper, we propose an efficient algorithm for no...
G. Manimaran, C. Siva Ram Murthy
RECOMB
2005
Springer
14 years 9 months ago
Efficient Algorithms for Detecting Signaling Pathways in Protein Interaction Networks
Abstract. The interpretation of large-scale protein network data depends on our ability to identify significant sub-structures in the data, a computationally intensive task. Here w...
Jacob Scott, Trey Ideker, Richard M. Karp, Roded S...
ENC
2004
IEEE
14 years 9 days ago
Efficient Data Structures and Parallel Algorithms for Association Rules Discovery
Discovering patterns or frequent episodes in transactions is an important problem in data-mining for the purpose of infering deductive rules from them. Because of the huge size of...
Christophe Cérin, Gay Gay, Gaël Le Mah...
FIMI
2004
239views Data Mining» more  FIMI 2004»
13 years 10 months ago
LCM ver. 2: Efficient Mining Algorithms for Frequent/Closed/Maximal Itemsets
: For a transaction database, a frequent itemset is an itemset included in at least a specified number of transactions. A frequent itemset P is maximal if P is included in no other...
Takeaki Uno, Masashi Kiyomi, Hiroki Arimura