• hesim

  • Referenced in 2 articles [sw35582]
  • package hesim: Health-Economic Simulation Modeling and Decision Analysis. A modular and computationally efficient ... homogeneous and time-inhomogeneous) and semi-Markov processes. Decision uncertainty from a cost-effectiveness analysis...
  • BisimDist

  • Referenced in 2 articles [sw33110]
  • pseudometrics between Markov chains and between Markov decision processes. These are distances that measure...
  • AMYTISS

  • Referenced in 2 articles [sw36936]
  • employed to (i) build finite Markov decision processes (MDPs) as finite abstractions of given original...
  • VAMPnets

  • Referenced in 19 articles [sw32927]
  • equilibria and long-timescale kinetics of biomolecular processes, such as protein-drug binding, from high ... dimension-reduced data, and estimation of a Markov state model or related model ... substantial amount of modeling expertise, as poor decisions at any step will lead to large ... employ the variational approach for Markov processes (VAMP) to develop a deep learning framework...
  • Ecole

  • Referenced in 1 article [sw38101]
  • process of solving as Markov decision processes. This means that, rather than trying to predict...
  • pymdp

  • Referenced in 1 article [sw42020]
  • space and time, using partially-observed Markov Decision Processes (POMDPs) as a generative model class...
  • OptimizedDP

  • Referenced in 1 article [sw41829]
  • implementation for continuous action-state space Markov Decision Process (MDP) while leveraging user-friendliness...
  • pymgrid

  • Referenced in 1 article [sw36564]
  • ability to model microgrids as Markov decision processes. pymgrid also introduces two pre-computed list...
  • MALLET

  • Referenced in 23 articles [sw10602]
  • Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction ... algorithms (including Naïve Bayes, Maximum Entropy, and Decision Trees), and code for evaluating classifier performance ... entity extraction from text. Algorithms include Hidden Markov Models, Maximum Entropy Markov Models, and Conditional...
  • Conrad

  • Referenced in 1 article [sw23028]
  • predictors, which are based on generalized hidden Markov models (GHMMs) and trained by maximum likelihood ... which rely on heuristic and ad hoc decision rules to combine standalone gene predictors with ... their highly modular nature, simplifying the process of designing and testing potential indicators of gene...
  • Alpaga

  • Referenced in 7 articles [sw00032]
  • Alpaga: A Tool for Solving Parity Games with...
  • DEA

  • Referenced in 244 articles [sw00194]
  • Data Envelopment Analysis (DEA) is becoming an increasingly...
  • GAP

  • Referenced in 3190 articles [sw00320]
  • GAP is a system for computational discrete algebra...
  • GAUSS

  • Referenced in 119 articles [sw00322]
  • The GAUSS Mathematical and Statistical System is a...
  • gmp

  • Referenced in 282 articles [sw00363]
  • GMP is a free library for arbitrary precision...
  • GreatSPN

  • Referenced in 57 articles [sw00384]
  • GreatSPN2.0 is a software package for the modeling...
  • Isabelle

  • Referenced in 714 articles [sw00454]
  • Isabelle is a generic proof assistant. It allows...
  • KNITRO

  • Referenced in 197 articles [sw00490]
  • KNITRO is a solver for nonlinear optimization. It...