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ICML
2010
IEEE
13 years 9 months ago
Inverse Optimal Control with Linearly-Solvable MDPs
We present new algorithms for inverse optimal control (or inverse reinforcement learning, IRL) within the framework of linearlysolvable MDPs (LMDPs). Unlike most prior IRL algorit...
Dvijotham Krishnamurthy, Emanuel Todorov
ADC
2003
Springer
182views Database» more  ADC 2003»
14 years 1 months ago
CT-ITL : Efficient Frequent Item Set Mining Using a Compressed Prefix Tree with Pattern Growth
Discovering association rules that identify relationships among sets of items is an important problem in data mining. Finding frequent item sets is computationally the most expens...
Yudho Giri Sucahyo, Raj P. Gopalan
ALGORITHMICA
2005
195views more  ALGORITHMICA 2005»
13 years 8 months ago
Bit-Parallel Witnesses and Their Applications to Approximate String Matching
We present a new bit-parallel technique for approximate string matching. We build on two previous techniques. The first one, BPM [Myers, J. of the ACM, 1999], searches for a patte...
Heikki Hyyrö, Gonzalo Navarro
BIBE
2008
IEEE
142views Bioinformatics» more  BIBE 2008»
14 years 2 months ago
Optimizing performance, cost, and sensitivity in pairwise sequence search on a cluster of PlayStations
— The Smith-Waterman algorithm is a dynamic programming method for determining optimal local alignments between nucleotide or protein sequences. However, it suffers from quadrati...
Ashwin M. Aji, Wu-chun Feng
TIT
1998
90views more  TIT 1998»
13 years 8 months ago
On the Complexity of Decoding Lattices Using the Korkin-Zolotarev Reduced Basis
—Upper and lower bounds are derived for the decoding complexity of a general lattice L. The bounds are in terms of the dimension n and the coding gain of L, and are obtained ba...
Amir H. Banihashemi, Amir K. Khandani