PDF Ebook about: Probabilistica
Probabilistica
List of ebooks and manuals about Probabilistica
50 documents available in our comprehensive collection of Probabilistica resources. Find practical guides, tutorials, and documentation to enhance your knowledge.
Probabilistic Validation (05_005.pdf)
449 KBEN 19 pages
A probabilistic approach is presented for validating advanced driver assistance systems, using randomized algorithms to efficiently cover the entire set of...
Modelli Probabilistici Finanza (ProgrammaMPF2012-2013.pdf)
36 KBIT 2 pages
Il corso copre argomenti come il credit scoring, la matematica finanziaria, la probabilità, i processi stocastici, il modello di Black Scholes, la volatilità e...
"Structured Probabilistic Reasoning" (ProbabilisticReasoning.pdf)
5.33 MBEN 992 pages
The book covers various topics in probability theory, including discrete probability distributions, probabilistic channels, Bayesian networks, and...
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,...
PDF (Machine Learning_ A Probabilistic Perspective Murphy 2012-08-24.pdf)
25.69 MBEN 1098 pages
A Probabilistic Perspective by Kevin P.
Incremental PCFG Parsing (W12-1705.pdf)
238 KBEN 10 pages
This paper presents a refinement of a factored probabilistic sequence model of comprehension, adopting an incremental probabilistic context-free grammar (PCFG)...
Slate Recommendation Model (2208.06263.pdf)
2.51 MBEN 11 pages
Probabilistic Rank and Reward (PRR) is a scalable probabilistic model for personalized slate recommendation, allowing off-policy estimation of reward in...
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...
Probabilistic Validation Approach for Advanced Driver Assistance Systems (04_029.pdf)
460 KBEN 29 pages
This technical report from Delft University of Technology's Center for Systems and Control presents a probabilistic method for validating advanced driver assistance systems, published in the Transportation Research Board proceedings in 2005. The authors, Gietelink, De Schutter,...
Probabilistic Verb Selection for Enhanced Data-to-Text Generation (Q18-1038.pdf)
389 KBEN 18 pages
Experiments on large news corpora show significant improvements.
Course Syllabus (syllabusss23.pdf)
27 KBEN 2 pages
Theory and Practice II" covers the probabilistic and statistical foundations of forecasting, with a focus on maximizing the sharpness of predictive...
UTexas: Probabilistic Hypothesis Generation for TAC SM-KBP Task 3 (TAC2018.UTexas.proceedings.pdf)
106 KBEN 5 pages
Generates coherent hypotheses probabilistically
Crowd Arbitration (CSET-Wisdom-of-the-Crowd-as-Arbiter-of-Expert-Disagreement.pdf)
1.87 MBEN 59 pages
The Center for Security and Emerging Technology (CSET) used probabilistic forecasting tools, specifically the wisdom of the crowd, to reduce uncertainty and...
Latent Dirichlet Allocation (BleiNgJordan2003.pdf)
345 KBEN 30 pages
Latent Dirichlet allocation (LDA) is a generative probabilistic model for collections of discrete data, such as text corpora, which models each item as a...
Roland Schäfer (2018) Probabilistic German Morphosyntax. General introduction, overview, and wrap-up (Rahmentext der kumulativen (RolandSchaefer_2018_ProbabilisticGermanMorphosyntax_Habil.pdf)
927 KBEN 77 pages
Dr. Roland Schäfer's habilitation thesis, "Probabilistic German Morphosyntax," was submitted to the Humboldt-Universität zu Berlin in 2018.
CRF Introduction (wallach04conditional.pdf)
109 KBEN 9 pages
Conditional Random Fields (CRFs) are a probabilistic framework for labeling and segmenting sequential data, defining a conditional probability distribution...
Quantum Simulation (10.1007s11128-017-1679-7.pdf)
671 KBEN 14 pages
Researchers present a framework to efficiently simulate the Deutsch-Jozsa and Simon's quantum algorithms on a classical probabilistic Turing machine, showing...
Machine Learning (L11.2-prob-models-em.pdf)
945 KBEN 20 pages
The content covers machine learning and data mining, including unsupervised and supervised learning, probabilistic modeling, and expectation maximization.
Fast Kernel Summation (3539-fast-high-dimensional-kernel-summations-using-the-monte-carlo-multipole-method.pdf)
132 KBEN 8 pages
A new fast Gaussian summation algorithm for high-dimensional datasets is proposed, utilizing probabilistic relative error bounds and a new tree structure...
ChatRoulette Survey (WEP-chatroulette.pdf)
625 KBEN 17 pages
ChatRoulette is a probabilistic community where users are randomly paired for video, audio, and text chats, with no lasting connections.
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.
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...
https://files.emailmeform.com/2071943/GbrsaMWo/16.pdf (16.pdf)
43 KBEN 1 page
one proposes a probabilistic model for machine code learning, allowing for learning code that cannot be learned by traditional models, and the other presents a...
Bengio, Yoshua, Réjean Ducharme, Pascal Vincent, and Christian Jauvin. 2003. "A Neural Probabilistic Language Model." Journal of (bengio03a.pdf)
136 KBEN 19 pages
A Neural Probabilistic Language Model proposes a new approach to statistical language modeling, learning a distributed representation for words to fight the...
'Response to Comments of Reviewer 1' (nhess-2018-344-AC1.pdf)
91 KBEN 10 pages
Authors revised manuscript on statistical theory of probabilistic hazard maps, addressing reviewer comments by adding descriptions of uncertainty, clarifying...
Staged Trees Learning (leonelli22a.pdf)
342 KBEN 12 pages
Manuele Leonelli and Gherardo Varando introduce a scalable structural learning algorithm for staged trees, a type of probabilistic graphical model that...
Download PDF (Flairs06-116.pdf)
243 KBEN 6 pages
Researchers present an algorithm for generating large Bayesian networks by tiling smaller, real-world networks, preserving structural and probabilistic...
printer (po-f01-handout4.pdf)
2.57 MBEN 8 pages
Markov Decision Processes (MDPs) are a generalization of classical planning, used for temporal planning, numeric planning, and probabilistic planning.
Technical Report (Kappes2015a.pdf)
1.1 MBEN 12 pages
Researchers propose a probabilistic correlation clustering approach using perturbed multicuts, enabling the representation of uncertainty in image partitions...
Vorontsov, Konstantin, and Anna Potapenko. 2014. "Tutorial on Probabilistic Topic Modeling: Additive Regularization for Stochast (Voron14aist.pdf)
460 KBEN 18 pages
Konstantin Vorontsov and Anna Potapenko present a tutorial on probabilistic topic modeling, introducing a novel non-Bayesian approach called Additive...
LEAPMR System (paper2.pdf)
180 KBEN 6 pages
The authors propose LEAPMR, a system for learning probabilistic ontologies with distributed parameter learning, which adapts the LEAP algorithm to use EDGEMR,...
fraudulent version (Fraud.pdf)
272 KBEN 10 pages
A nonparametric, probabilistic model for automatic segmentation of medical images is proposed, using a training set of images and corresponding label maps.
![Preview of [pdf]](/images/pdf/2a/96/ec/2a96ecc3-2180-4f46-97ff-c5983f62246c.png)
[pdf] (4426-structural-equations-and-divisive-normalization-for-energy-dependent-component-analysis.pdf)
6.42 MBEN 9 pages
Jun-ichiro Hirayama and Aapo Hyvärinen propose a probabilistic model for energy-dependent component analysis, incorporating a linear mixing of latent signals...
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...
IE255_Fall15_Syllabus.pdf (IE255_Fall15_Syllabus.pdf)
58 KBEN 1 page
Probability for Industrial Engineers, Fall 2015, covers probability theory, probabilistic models, and decision making under uncertainty, with instructor Refik...
PDF (cose2018.pdf)
504 KBEN 12 pages
Researchers propose a novel probabilistic packet marking scheme to combat Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks by inferring...
boletin_agroclimatico_OCTUBRE.pdf (10-boletin_agroclimatico_OCTUBRE.pdf)
295 KBES 5 pages
El boletín agroclimático tiene como objetivo difundir información sobre monitoreo y predicción climática mensual, mediante índices y tendencias probabilísticas...
Sea Level Rise Scenarios (techrpt83_Global_and_Regional_SLR_Scenarios_for_the_US_final.pdf)
6.99 MBEN 75 pages
NOAA Technical Report NOS CO-OPS 083 provides global and regional sea level rise scenarios for the United States, including probabilistic projections and upper...
CRITERIA AGENDA (Agenda_Criteria_Febrero_2021-k9t3h.pdf)
1.85 MBES 23 pages
Se realizó un estudio cuantitativo no probabilístico a través de encuestas autoadministradas en un panel online certificado, con una muestra de 1.185 casos,...
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.
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.
Metoda Szacowania Trwałości Elementów i Zbiorów Urządzeń z Zachowaniem Wymaganego Poziomu Niezawodności (pdf-158230-84526)
409 KBEN 7 pages
The article presents a probabilistic method to assess the durability of components and assemblies facing destructive processes, ensuring a required reliability level. It offers a framework for estimating component longevity while managing potential failures. The study is...
Pragmatic Reasoning (2005.06641.pdf)
1.04 MBEN 12 pages
Human pragmatic reasoning is viewed through the Rate-Distortion framework. The Rational Speech Act (RSA) framework formulates pragmatic reasoning as probabilistic speakers and listeners reasoning about each other. RSA recursion optimizes a tradeoff between expected utility and...
Mechanical Structural Reliability in Mechanism Motion (pdf-158292-84589)
1.17 MBEN 8 pages
Mechanical structural reliability has been studied since the 1960s and applied in various fields. With the development of high-precision machinery, mechanism motion precision has become the main index for reliability evaluation. In the 1980s, mechanism motion precision was...
Chance-Constrained Model Predictive Controller Synthesis for Stochastic Max-Plus Linear Systems (16_030.pdf)
612 KBEN 9 pages
This technical report from Delft University of Technology presents a method for synthesizing chance-constrained model predictive controllers for stochastic max-plus linear systems, addressing uncertainty through probabilistic constraints. The research was presented at the 2016...
Cache Stampede Prevention (cache_stampede.pdf)
409 KBEN 12 pages
Cache stampede occurs when a popular cache item expires, leading to multiple requests regenerating the item at the same time, causing performance issues.
Download PDF (wang22i.pdf)
2.3 MBEN 11 pages
The study reveals that inaccurate instance depth estimation is the primary bottleneck in this task, and simplifies monocular 3D detection as an instance depth...
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...
Chord Recognition (ISMIR2008_236.pdf)
483 KBEN 6 pages
Automatic chord recognition in polyphonic music signals.
The method integrates chord transition and bass pitch estimation.
It improves harmony analysis in music.
Rank of Sparse Matrices (sparseeliminationCASC2002.pdf)
294 KBEN 15 pages
Computing the rank of large sparse matrices over finite fields is achieved through efficient exact computations, comparing deterministic Gaussian elimination...
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