• Pi4U

  • Referenced in 9 articles [sw18320]
  • heterogeneous clusters. Sampling is based on the Transitional Markov Chain Monte Carlo (TMCMC) algorithm ... accommodates scheduling of multiple physical model evaluations based on an adaptive load balancing library...
  • EasyGene

  • Referenced in 7 articles [sw17322]
  • gene. The gene finder is based on a hidden Markov model (HMM) that is automatically ... then scored with the HMM, and based on score and length ... sense of a third order Markov chain. Conclusions: The result is a flexible gene finder...
  • ProbNetKAT

  • Referenced in 4 articles [sw21703]
  • NetKAT with a denotational semantics based on Markov kernels. The language is expressive enough...
  • PROFtmb

  • Referenced in 4 articles [sw11343]
  • residue protein. PROFtmb is a profile-based Hidden Markov Model (HMM) with an architecture mirroring...
  • ggdmc

  • Referenced in 2 articles [sw30004]
  • response time models, using the population-based Markov Chain Monte Carlo...
  • IAM-OnDB

  • Referenced in 5 articles [sw17603]
  • this database. This recognizer is based on hidden Markov models (HMMs). In our experiments...
  • HPeak

  • Referenced in 4 articles [sw29576]
  • HPeak: an HMM-based algorithm for defining read-enriched regions in ChIP-Seq data. Results ... introduce HPeak, a H idden Markov model (HMM)-based Peak-finding algorithm for analyzing ChIP...
  • SLAM

  • Referenced in 5 articles [sw17327]
  • with a generalized pair hidden Markov model. Comparative-based gene recognition is driven ... probabilistic framework is the generalized pair hidden Markov model, a hybrid of (1) generalized hidden...
  • PSMIX

  • Referenced in 5 articles [sw13670]
  • into convergence problem in Markov Chain Monte Carlo based posterior samplings. Results: We have developed...
  • PRED-TMBB

  • Referenced in 5 articles [sw11338]
  • work we developed a method based on a Hidden Markov Model, capable of predicting...
  • MSAProbs

  • Referenced in 3 articles [sw12007]
  • MSAProbs: multiple sequence alignment based on pair hidden Markov models and partition function posterior probabilities ... MSAProbs is based on a combination of pair hidden Markov models and partition functions...
  • HiddenMarkov

  • Referenced in 14 articles [sw08010]
  • Markov Models, Markov Modulated GLMs and the Markov Modulated Poisson Process. It includes functions ... list of recent changes. The algorithms are based of those of Walter Zucchini...
  • clickstream

  • Referenced in 2 articles [sw23663]
  • Package clickstream: Analyzes Clickstreams Based on Markov Chains. A set of tools to read, analyze...
  • blasso

  • Referenced in 13 articles [sw06769]
  • data-based shrinkage of the regression coefficients. Posterior inference is easily achieved using Markov chain...
  • TigrScan

  • Referenced in 4 articles [sw21669]
  • gene finder based on the Generalized Hidden Markov Model framework, similar to Genscan and Genie...
  • gammSlice

  • Referenced in 1 article [sw26760]
  • Slice Sampling. Uses a slice sampling-based Markov chain Monte Carlo to conduct Bayesian fitting...
  • Pythia

  • Referenced in 1 article [sw40140]
  • frequency-based approach and invocation-based Markov Chain language model, and discuss challenges serving Pythia...
  • MENTA

  • Referenced in 3 articles [sw27334]
  • more entities than traditional manually built knowledge bases. So far, however, the multilingual nature ... equivalence classes of entities, and a Markov chain-based ranking approach to construct the final...
  • GlimmerHMM

  • Referenced in 5 articles [sw21670]
  • gene finder based on a Generalized Hidden Markov Model (GHMM). Although the gene finder conforms...
  • jMarkov

  • Referenced in 2 articles [sw22688]
  • Integrated Framework for Markov Chain Modeling. Markov chains (MC) are a powerful tool for modeling ... capabilities to determine optimal decision rules based on Markov Decision Processes; and (iv) the jPhase...