• MLMSRBF

  • Referenced in 43 articles [sw07571]
  • mild technical conditions, SRS converges to the global minimum in a probabilistic sense. We also...
  • Tweety

  • Referenced in 9 articles [sw22090]
  • representation formalisms such as classical logics, conditional logics, probabilistic logics, and argumentation. Furthermore, Tweety contains...
  • SPIRIT

  • Referenced in 7 articles [sw26763]
  • SPIRIT. The inference process in a probabilistic and conditional environment under minimum relative entropy, permits...
  • DORAEMON

  • Referenced in 2 articles [sw23314]
  • DORAEMON (conDitiOnal pRobabilistic Approach for idEntification of aMino acids interacting with ribONucleic acids): Sequence-based ... protein-RNA interacting residues using a probabilistic approach. Protein interactions with ribonucleic acids ... simple-yet-efficient conditional probabilistic approach based on the application of local occurrence of amino...
  • WaveNet

  • Referenced in 20 articles [sw38795]
  • fully probabilistic and autoregressive, with the predictive distribution for each audio sample conditioned...
  • CkC

  • Referenced in 4 articles [sw28199]
  • perform extensions (inferences) of probabilistic models based on partial conditional lower-upper probability assessments...
  • IBAL

  • Referenced in 27 articles [sw08945]
  • provides a rich declarative language for describing probabilistic models. The expression language allows the description ... compose rejective models that result from conditioning on the observations. IBAL also integrates Bayesian parameter...
  • DeepLab

  • Referenced in 38 articles [sw15303]
  • boundaries by combining methods from DCNNs and probabilistic graphical models. The commonly deployed combination ... final DCNN layer with a fully connected Conditional Random Field (CRF), which is shown both...
  • CONTRAfold

  • Referenced in 8 articles [sw17117]
  • derive model parameters. Despite this advantage, however, probabilistic methods have not replaced free energy minimization ... based on conditional log-linear models (CLLMs), a flexible class of probabilistic models which generalize...
  • Varun

  • Referenced in 4 articles [sw13191]
  • combination of appropriate saturation conditions and the monotonicity of probabilistic scores over regions of constant...
  • Venture

  • Referenced in 10 articles [sw14670]
  • probabilistic execution traces (PETs), which represent execution histories of Venture programs. PETs capture conditional dependencies...
  • Figaro

  • Referenced in 11 articles [sw28902]
  • introduce an object-oriented paradigm for probabilistic programming, embodied in the Figaro language. Models ... objects, and may have properties such as conditions, constraints and relationships to other objects. Figaro...
  • PROPhESY

  • Referenced in 13 articles [sw33602]
  • PROPhESY: A PRObabilistic ParamEter SYnthesis Tool. We present PROPhESY, a tool for analyzing parametric Markov ... tools and supports the novel feature of conditional probabilities. PROPhESY supports incremental automatic parameter synthesis...
  • NESTOR

  • Referenced in 27 articles [sw22096]
  • Medical Diagnostic Aid that Integrates Causal and Probabilistic Knowledge. n order to address some existing ... diagnosing the cause of a patient’s condition. This dissertation presents the problems that...
  • PHOG

  • Referenced in 2 articles [sw28852]
  • PHOG). PHOG generalizes probabilistic context free grammars (PCFGs) by allowing conditioning of a production rule ... immediately benefit existing programming tools based on probabilistic models of code...
  • EDISA

  • Referenced in 2 articles [sw30026]
  • Signature Algorithm), a novel probabilistic clustering approach for 3D gene-condition-time datasets. Based...
  • JSNice

  • Referenced in 1 article [sw37814]
  • leverage powerful probabilistic graphical models such as conditional random fields (CRFs) in order to perform...
  • cplint

  • Referenced in 6 articles [sw22924]
  • programs for reasoning and learning with Probabilistic Logic Programming languages that follow the distribution semantics ... experiments comparing exact and approximate inference with conditional and causal queries, showing that causal inference...
  • SPFlow

  • Referenced in 1 article [sw35052]
  • efficiently implements several probabilistic inference routines like computing marginals, conditionals and (approximate) most probable explanations...
  • CRF

  • Referenced in 1 article [sw41650]
  • tools for conditional random fields (CRF) model as well as other probabilistic undirected graphical models...