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  1. Learning Type Inference for Enhanced Dataflow Analysis

    Statically analyzing dynamically-typed code is a challenging endeavor, as even seemingly trivial tasks such as determining the targets of procedure...
    Lukas Seidel, Sedick David Baker Effendi, ... Fabian Yamaguchi in Computer Security – ESORICS 2023
    Conference paper 2024
  2. Type Assignment & Type Inference

    In this video we show you typescript works with type assignments and how type inference work. This helps you in better understanding how typescript...
    Video segment 2022
  3. The Inference Method for a Mamdani Type System with Nonsingleton Fuzzification

    Abstract

    This paper describes the results of logical inference for widely used fuzzy systems of Mamdani type in the case of nonsingleton...

    V. G. Sinuk, S. A. Karatach in Pattern Recognition and Image Analysis
    Article 26 September 2023
  4. Multi-Agent Systems for Collaborative Inference Based on Deep Policy Q-Inference Network

    This study tackles the problem of increasing efficiency and scalability in deep neural network (DNN) systems by employing collaborative inference, an...

    Shangshang Wang, Yuqin **g, ... Xue Wang in Journal of Grid Computing
    Article 29 February 2024
  5. Data Type Inference for Logic Programming

    In this paper we present a new static data type inference algorithm for logic programming. Without the need for declaring types for predicates, our...
    João Barbosa, Mário Florido, Vítor Santos Costa in Logic-Based Program Synthesis and Transformation
    Conference paper 2022
  6. T2RFIS: type-2 regression-based fuzzy inference system

    This article discusses a novel type-2 fuzzy inference system with multiple variables in which no fuzzy rules are explicitly defined. By using a...

    Krzysztof Wiktorowicz in Neural Computing and Applications
    Article Open access 20 July 2023
  7. Optimized Fuzzy Inference for Sugeno-Type Systems

    Abstract

    The article proposes an optimized algorithm that allows the use of a fuzzy inference system with a large number of inference rules (about 10...

    M. S. Golosovskiy, A. V. Bogomolov, M. E. Balandov in Automatic Documentation and Mathematical Linguistics
    Article 01 October 2022
  8. Lifting in Support of Privacy-Preserving Probabilistic Inference

    Privacy-preserving inference aims to avoid revealing identifying information about individuals during inference. Lifted probabilistic inference works...

    Marcel Gehrke, Johannes Liebenow, ... Tanya Braun in KI - Künstliche Intelligenz
    Article Open access 13 June 2024
  9. Testing Dependencies and Inference Rules in Databases

    Abstract

    The process of testing dependencies and inference rules can be used in two ways. First of all, testing allows verifying hypotheses about...

    Article 01 December 2023
  10. Sound and Complete Type Inference for Closed Effect Rows

    Koka is a functional programming language that has algebraic effect handlers and a row-based effect system. The row-based effect system infers types...
    Kazuki Ikemori, Youyou Cong, ... Daan Leijen in Trends in Functional Programming
    Conference paper 2022
  11. Causal inference in the medical domain: a survey

    Causal inference is considered a crucial topic in the medical field, as it enables the determination of causal effects for medical treatments through...

    **ng Wu, Shaoqi Peng, ... Yike Guo in Applied Intelligence
    Article 01 March 2024
  12. Accelerating BERT inference with GPU-efficient exit prediction

    BERT is a representative pre-trained language model that has drawn extensive attention for significant improvements in downstream Natural Language...

    Lei Li, Chengyu Wang, ... Aoying Zhou in Frontiers of Computer Science
    Article 22 January 2024
  13. Variational inference for Bayesian bridge regression

    Carlos Tadeu Pagani Zanini, Helio S. Migon, Ronaldo Dias in Statistics and Computing
    Article 28 October 2023
  14. Type Inference for Rank-2 Intersection Types Using Set Unification

    Several type inference approaches for rank-2 idempotent and commutative intersection types have been presented in the literature. Type inference...
    Pedro Ângelo, Mário Florido in Theoretical Aspects of Computing – ICTAC 2022
    Conference paper 2022
  15. Type-1 Fuzzy Logic

    This chapter introduces the basic concepts, notation, and basic operations for the type-1 fuzzy sets that will be needed in the following chapters....
    Chapter
  16. Maximum Likelihood Inference of Time-Scaled Cell Lineage Trees with Mixed-Type Missing Data

    Recent dynamic lineage tracing technologies combine CRISPR-based genome editing with single-cell sequencing to track cell divisions during...
    Uyen Mai, Gillian Chu, Benjamin J. Raphael in Research in Computational Molecular Biology
    Conference paper 2024
  17. Approximate inference for longitudinal mechanistic HIV contact network

    Network models are increasingly used to study infectious disease spread. Exponential Random Graph models have a history in this area, with scalable...

    Octavious Smiley, Till Hoffmann, Jukka-Pekka Onnela in Applied Network Science
    Article Open access 30 April 2024
  18. A Survey on Collaborative DNN Inference for Edge Intelligence

    With the vigorous development of artificial intelligence (AI), intelligence applications based on deep neural networks (DNNs) have changed people’s...

    Wei-Qing Ren, Yu-Ben Qu, ... Song Guo in Machine Intelligence Research
    Article 03 May 2023
  19. Adaptive neuro-fuzzy inference system for customizing investment type based on the potential investors’ demographics and feedback

    The proposed model is an adaptive neuro-fuzzy inference recommender system that utilizes customer investment service feedback and fuzzy neural...

    Asefeh Asemi, Adeleh Asemi, Andrea Ko in Journal of Big Data
    Article Open access 28 May 2023
  20. Likelihood-free inference in state-space models with unknown dynamics

    Likelihood-free inference (LFI) has been successfully applied to state-space models, where the likelihood of observations is not available but...

    Alexander Aushev, Thong Tran, ... Samuel Kaski in Statistics and Computing
    Article Open access 03 November 2023
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