Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 2208 for “"conditional"”.
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Conditional Clauses
… and arrangements that lend themselves towards a conditional, not absolute, meaning. The work is created from an impulse to put everyday materials together in order to observe subtle relationships that ultimately transcend the ordinary and question what is being seen or experienced.
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Summarizing Conditional Preference Networks
Preference modeling has been studied extensively in the literature, and has applications in recommender systems and automated decision-making. The eventual objective of working with preference models is to be able to reason about preferences over objects, often referred to as outcomes. In most of …
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Frontiers of Conditional Logic
<p>Conditional logics were originally developed for the purpose of modeling intuitively correct modes of reasoning involving conditional—especially counterfactual—expressions in natural language. While the debate over the logic of conditionals is as old as propositional logic, it was the …
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Convolutional Conditional Neural Processes
… the approach. Third, we propose autoregressive conditional neural processes (AR CNPs). AR CNPs train a neural process without any modifications to the model or training procedure and, at test time, roll out the model in an autoregressive fashion. AR CNPs equip the neural process framework with a …
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Editing Conditional Radiance Fields
… of a category-level NeRF – also known as a conditional radiance field – trained on a shape category. Specifically, we introduce a method for propagating coarse 2D user scribbles to the 3D space, to modify the color or shape of a local region. First, we propose a conditional radiance field …
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A Study of Conditional Volatilities in Financial Markets using Generalized Conditional Heteroscedasticity Jump Models
In this manuscript, I investigate the time-varying volatilities and co-volatilities in the fixed income and equities market using jump augmented stochastic volatility models. The results highlights that the fact that jumps are inherent in financial markets and have implications for the dynamics of …
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A conditional model of abduction
… the preferred explanations) uses existing conditional logics for default reasoning and belief revision, based on standard modal systems. We end up with a semantics for explanation in terms of sets of possible worlds, which are simple modal structures also suitable for other forms of …
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Conditional Visualisation for Statistical Models
… space. One way to approach the problem is conditional visualisation, but methods in this area have lagged behind the considerable advances in statistical modelling in recent decades. This thesis presents a new approach to conditional visualisation which uses interactive computer graphics, …
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Topics in conditional causal inference
… questions of this kind, this thesis concerns conditional causal inference, generally referring to techniques of constructing or interpreting conditional distributions or expectations for inference about a causal effect of interest. This thesis consists of five chapters. In Chapter 1, we first …
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Desire, belief, and conditional belief
This dissertation studies the logics of value and conditionals, and the question of whether they should be given cognitivist analyses. Emotivist theories treat value judgments as expressions of desire, rather than beliefs about goodness. Inference ticket theories of conditionals treat them as …
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CHuff: Conditional Huffman String Compression
… in columnar database stores. We introduce Conditional Huffman (CHuff) compression, a novel approach leveraging longstanding Huffman encoding and recent advances in hashing and storage paradigms. CHuff relies on low-entropy conditional relationships between consecutive characters in textual …
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Modeling Conditional Distribution of Intraday Returns
Time-series modeling of conditional distributions of intraday returns is of great importance to financial professionals and academic researchers. This work contributes to a methodological and empirical body of knowledge on conditional distributions of intraday asset returns. In Chapter 1, we study …
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Conditional Quantile Estimation With Ordinal Data
… a new regression method for estimating the conditional quantiles of the ordinal response variable. By assuming a continuous latent variable underlying the observed ordinal response variable and utilizing the equivalence property of quantile regression we obtain the estimates of the …
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Conditional Preference Networks: Learning and Optimization
… representation of preferences is that of Conditional Preference Networks (CP-nets). A CP-net de nes a partial order over the set of outcomes or alternatives by providing a concise set of small preference statements. Since their introduction, CP-nets have been intensively studied and …
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Some conditional results involving arithmetic functions
In analytic number theory, conditional results often serve as a precursor to unconditional results. In this thesis, we present two types of conditional results. First, we establish conditional estimates on twisted sums of certain arithmetic functions such as generalized von Mangoldt and Mobius …
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Presuppositions and non-truth-conditional semantics.
Massachusetts Institute of Technology. Dept. of Foreign Literatures and Linguistics. Thesis. 1974. Ph.D.
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Curve sampling and geometric conditional simulation
… our basic curve sampling framework to perform conditional simulation: a portion of the solution space is specified, and the remainder is sampled conditioned on that information. For difficult segmentation problems which are currently done manually by human experts, reliable semi-automatic …
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Tensors, sparse problems and conditional hardness
… that direction. Third, we show that many recent conditional lower bounds for a wide variety of problems in combinatorial pattern matching, graph algorithms, data structures and machine learning, including gradient computation in average case neural networks, are true under significantly weaker …
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