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L_inference
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50 documents available in our comprehensive collection of L_inference resources. Find practical guides, tutorials, and documentation to enhance your knowledge.
Reverse Inference (poldrack_cognitive_1-s2.0-s1364661305003360-main.pdf)
108 KBEN 5 pages
Cognitive processes can be inferred from neuroimaging data through "reverse inference", but this method is not deductively valid and its usefulness is limited...
SRL Inference (W05-0625.pdf)
107 KBEN 4 pages
Researchers present a semantic role labeling (SRL) approach that combines multiple argument classifiers' outputs into a coherent predicate-argument structure...
Bayesian Inference (Pri.pdf)
1.28 MBEN 9 pages
On the use of the BMC to resolve Bayesian inference with nuisance parameters: This paper presents a stochastic approach to marginalize nuisance parameters in...
Stochastic Planning Inference (wu22a.pdf)
548 KBEN 12 pages
Stochastic planning is reduced to probabilistic inference in large discrete graphical models, requiring approximation schemes due to hardness of inference.
Scalar Inference Processing (ELM1_paper_112.pdf)
264 KBEN 2 pages
The probability and processing speed of scalar inferences is context-dependent, with contextual factors affecting listeners' overall response strategy and...
Edge Inference Optimization (2206.07741.pdf)
4.89 MBEN 15 pages
This paper proposes a new quantization approach for mixed precision convolutional neural networks (CNNs) targeting edge-computing, achieving a new Pareto...
Inference picture 3 (inference-picture-3.pdf)
143 KBEN 1 page
The text discusses making inferences about a picture of owls, specifically: the relationship between the owls, which one is about to take its first flight, the...
Lifted Inference Orbits (356.pdf)
302 KBEN 10 pages
Researchers present exact and approximate lifted inference algorithms for arbitrary discrete factor graphs, exploiting symmetry to enable efficient inference,...
Arc Consistency (ai25-handout4.pdf)
159 KBEN 7 pages
Key points include:
Inference derives additional constraints implied by given constraints,
trade-offs between search and inference,
applying inference as...
Abolishing the Rule Against Inference Stacking in Texas (52-Book-4_Baruch-Fisher-David-Fisher_Jefferson.PUBLISHED.pdf)
412 KBEN 19 pages
Lawyers argue Texas should allow 'inference stacking' in jury trials, as it's a core function; current rule against it is inconsistently applied and criticized by scholars.
Syllabus (apstatssyllabus.f9e5f481056.pdf)
175 KBEN 2 pages
The course covers exploring data, sampling, experimentation, probability, and statistical inference, with 8 modules.
An Analogical Learner for Morphological Analysis: Proceedings of CoNLL 2005 (W05-0616.pdf)
153 KBEN 8 pages
Presented by Stroppa and Yvon in 2005 at CoNLL, it explores a two-step inference process for structural mapping and knowledge transfer.
Statistical methods in psychology journals: Guidelines and explanations (amp-54-8-594.pdf)
1.14 MBEN 11 pages
The American Psychological Association (APA) convened a Task Force on Statistical Inference to address controversies surrounding statistical applications in...
Deprojection Recovery (1909.00475.pdf)
2.07 MBEN 10 pages
We introduce visual deprojection, recovering an image or video collapsed along a dimension, and propose a probabilistic model and variational inference...
![Preview of [PDF]](/images/pdf/64/85/43/64854388-01d9-4e5e-9367-e01cf8f198dd.png)
[PDF] (pronobis2017icml-padl.pdf)
1.04 MBEN 9 pages
LibSPN is a Python library for learning and inference with Sum-Product Networks (SPNs) and TensorFlow, aiming to become a platform for the machine learning...
NVIDIA Tesla P4: Revolutionizing Deep Learning Inference with Enhanced Efficiency (184457-Tesla-P4-Datasheet-NV-Final-Letter-Web.pdf)
394 KBEN 2 pages
The NVIDIA Tesla P4, powered by Pascal architecture, revolutionizes deep learning on scale-out servers, offering 15x faster inference and 60x better energy efficiency than CPUs, enabling previously impossible AI services.
Polyhedral Outer Approximations with Application to Natural Language Parsing (icml2009.pdf)
256 KBEN 8 pages
It establishes risk bounds for max-margin learning with LP relaxed inference and proposes a new paradigm to penalize "time-consuming" hypotheses.
Fuzzy Mapping (90363.pdf)
4.18 MBEN 23 pages
Researchers propose a Fuzzy Bayesian Inference approach to map vague and place-based regions, addressing the challenge of determining suitable membership...
RTE Proceedings (D15-1185.pdf)
304 KBEN 6 pages
Recognizing Textual Entailment Using Probabilistic Inference:
The authors propose a method to recognize textual entailment (RTE) using predicate-argument...
https://www.ijcai.org/proceedings/2018/0266.pdf (0266.pdf)
1.11 MBEN 7 pages
The architecture uses Answer Set Prolog to represent and reason with spatial relations, and combines non-monotonic logical inference, Qualitative Spatial...
FY2022 Research Results(PDF 1.81MB) (20230328symposium_10_poster.pdf)
1.77 MBEN 1 page
The Approximate Bayesian Inference Team, led by Mohammad Emtiyaz Khan, aims to develop AI systems that can learn and improve continually throughout their...
Slides (baydin-2019-neurips-slides.pdf)
7.65 MBEN 67 pages
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model, involving probabilistic programming, deep learning, and neural networks,...
Assessing Language Models (2021.blackboxnlp-1.26.pdf)
451 KBEN 13 pages
Researchers investigated the generalization capacity of pre-trained language models in Japanese Natural Language Inference (NLI) tasks using a newly created...
Sea Ice Thickness Monitoring (tc-2022-212-ATC2.pdf)
8.49 MBEN 23 pages
Researchers used deep learning and Bayesian inference to analyze micro-seismicity in sea ice, applying it to high-resolution thickness monitoring, and found...
Presentation (Master_Muhammad_Hamiz_Ahmed_2019_presentation.pdf)
2.33 MBEN 92 pages
Albert-Ludwigs-Universität Freiburg is working on a project titled "Meta Data Inference on Building Sensors Data" supervised by Mr. Tim Rist.
Adversarial Text Classification (2305.06522v1.pdf)
660 KBEN 19 pages
Researchers propose RSMI, a two-stage framework combining randomized smoothing (RS) and masked inference (MI) to improve adversarial robustness of NLP systems,...
Télécharger le fichier (ACSOS.pdf)
662 KBEN 11 pages
Researchers evaluated six causal inference (CI) methods for microservice performance diagnosis, assessing their ability to locate root causes amidst...
pdf (2022.naacl-main.441.pdf)
231 KBEN 7 pages
Researchers propose a simple method for predicting the performance of abductive natural language inference (αNLI) models without fine-tuning, by comparing...
ProofInfer (2022.emnlp-main.747.pdf)
842 KBEN 10 pages
Researchers propose ProofInfer, a novel proof generation model that generates proof trees via iterative hierarchical inference, outperforming state-of-the-art...
Adam Loy, Heike Hofmann, and Di Cook (1502.06988.pdf)
4.28 MBEN 52 pages
The authors propose a simpler approach using visual inference methods, which provides a unified framework for diagnosing LME fits and model selection.
Drought Forecasting Models (2018022828.pdf)
799 KBEN 9 pages
Drought is predicted using neuro-fuzzy adaptive inference systems (ANFIS), artificial neural network of multilayered perceptron (ANN-MLP), and support vector...
Caregiver Assessment (1802.03051.pdf)
904 KBEN 7 pages
Researchers developed Caregiver Assessment using Smart Technology (CAST), a mobile app using a Fuzzy Inference System (FIS) and Genetic Algorithm (GA) to...
teaching:2013winter:773pnas-2012-murugan-16161-6-appendix.pdf (773pnas-2012-murugan-16161-6-appendix.pdf)
1.12 MBEN 19 pages
Statistical inference of T-cell receptor diversity generation from sequence repertoires requires accurate knowledge of V, D, and J-gene sequences and their...
Published (POPVOL19P102506.pdf)
1.86 MBEN 11 pages
Researchers applied Bayesian inference to analyze plasma equilibria on the MAST (Mega-Ampere Spherical Tokamak) device, using data from pickup coils, flux...
Causal Discovery (481_main_paper.pdf)
609 KBEN 10 pages
Causal discovery with cycles is studied using Partial Ancestral Graphs.
The Fast Causal Inference algorithm is applied to observational data.
Correct results are obtained despite the presence of feedback loops.
stock_2021-08-23_TL (stock_2021-08-23_TL.pdf)
126 KBEN 7 pages
Petter Mostad
Applied Mathematics and Statistics
Chalmers and GU
MVE550 Stochastic Processes and Bayesian Inference
Re-exam August 23, 2021, 8:30 - 12:30...
RStan Package (rstan.pdf)
330 KBEN 82 pages
R package 'rstan' provides interface to Stan, a probabilistic programming language. It enables Bayesian statistical inference via Markov Chain Monte Carlo and other methods. Version 2.32.7 is available.
Distortion Estimates (496_main_paper.pdf)
760 KBEN 10 pages
Distortion estimates for approximate Bayesian inference are crucial for evaluating posterior approximation schemes. A "distortion map" is estimated to adjust univariate marginals of the approximate posterior. This approach provides graphical diagnostics at the observed data.
![Preview of arXiv:0907.4010v1 [stat.CO] 23 Jul 2009](/images/pdf/63/3e/51/633e5171-231b-40d0-9e0b-48f760c72ff1.png)
arXiv:0907.4010v1 [stat.CO] 23 Jul 2009 (0907.4010v1.pdf)
101 KBEN 10 pages
It addresses challenges in Bayesian inference for models with censored or order-restricted parameters, where analytical computations are difficult. The methods utilize accept-reject sampling, Gibbs sampling, and Markov Chain Monte-Carlo techniques.
Machine Learning (L11.1-prob-models.pdf)
1002 KBEN 45 pages
Machine learning and data mining involve probabilistic modeling to handle uncertain inferences from data. Probability theory is used to model uncertainty, enabling inference and prediction through probabilities. Applications include machine learning, computer vision, and NLP.
Dynamic Topic Modeling (365_main_paper.pdf)
1.23 MBEN 10 pages
Dynamic Correlated Topic Models use stochastic variational inference to capture topic correlation and word co-occurrence evolution over time. Gaussian processes (GPs) enable modeling of temporal changes in topic correlations. This identifies shifts in topic relationships.
Download PDF (SS96-05-017.pdf)
277 KBEN 3 pages
A learning apprentice system for browsing a library of object-oriented software infers a user's search goal from their actions and presents relevant items.
Loss as Model Inconsistency (richardson22b.pdf)
717 KBEN 30 pages
Richardson argues that loss function choice in probabilistic dependency graphs (PDGs) should align with the model, not personal preference. He shows that many standard loss functions and statistical divergences can be derived from PDG inconsistency, offering intuitive visual...
Probabilistic Multimodal Modeling for Human-Robot Interaction Tasks (p47.pdf)
4.51 MBEN 9 pages
Probabilistic Multimodal Modeling for Human-Robot Interaction Tasks: This work introduces a reformulation of Interaction Primitives, called ensemble Bayesian...
Reading Home Learning 22.01.21.pdf (reading-home-learning-22.01.21.pdf)
285 KBEN 3 pages
Retrieval questions cover topics such as Fred's Wednesday activities, Con's interactions, and the characters' plans.
Compounded Corruption: A Fast and Effective Data Augmentation Technique for Out-of-Distribution Sample Detection (2207.13916.pdf)
4.72 MBEN 43 pages
A novel data augmentation technique, Compounded Corruptions (CnC), creates synthetic out-of-distribution samples by corrupting in-distribution data, enabling the training of effective OOD detection classifiers without requiring labeled OOD examples.
Heads Hypothesis (2101.09115.pdf)
986 KBEN 9 pages
Researchers propose a unifying statistical approach to understand multi-headed attention in BERT, addressing challenges with existing methods, including lack...
qPCR Data Analysis (F2-PSchmidt.pdf)
345 KBEN 2 pages
qPCR-based approaches cannot explain non-detects or low concentrations in wastewater-based epidemiology surveillance, but established quantitative microbiology...
Bayesian Climate Model (EGU2018-4637.pdf)
32 KBEN 1 page
A Bayesian model is presented for spatio-temporal climate reconstructions of the last deglaciation, using a non-stationary approach that can capture gradual...
Extreme Classification (Poster.pdf)
694 KBEN 1 page
Tasks with an extremely large number of classes ?, propose a graph-based classification scheme with time and space complexities logarithmic in ?, learn ℓ...
Popular Keywords
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