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BMCBI
2005
114views more  BMCBI 2005»
15 years 6 months ago
A new decoding algorithm for hidden Markov models improves the prediction of the topology of all-beta membrane proteins
Background: Structure prediction of membrane proteins is still a challenging computational problem. Hidden Markov models (HMM) have been successfully applied to the problem of pre...
Piero Fariselli, Pier Luigi Martelli, Rita Casadio
GLOBECOM
2007
IEEE
16 years 24 days ago
Iterative Decoding of Concatenated Channel Coding and Trellis Shaping Based on Markov Model
—The trellis shaping (TS) is an effective technique not only for average power reduction of high-order QAM signals, but also for peak power reduction of band-limited single-carri...
Makoto Tanahashi, Hideki Ochiai
PKDD
2010
Springer
148views Data Mining» more  PKDD 2010»
15 years 4 months ago
Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models
Abstract. A new method is proposed for compiling causal independencies into Markov logic networks (MLNs). An MLN can be viewed as compactly representing a factorization of a joint ...
Sriraam Natarajan, Tushar Khot, Daniel Lowd, Prasa...
ICML
2006
IEEE
16 years 7 months ago
Online decoding of Markov models under latency constraints
The Viterbi algorithm is an efficient and optimal method for decoding linear-chain Markov Models. However, the entire input sequence must be observed before the labels for any tim...
Mukund Narasimhan, Paul A. Viola, Michael Shilman
CCGRID
2009
IEEE
16 years 1 months ago
Markov Model Based Disk Power Management for Data Intensive Workloads
—In order to meet the increasing demands of present and upcoming data-intensive computer applications, there has been a major shift in the disk subsystem, which now consists of m...
Rajat Garg, Seung Woo Son, Mahmut T. Kandemir, Pad...