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.
Results
Showing 1 to 20 of 644 for “"Learning theory"”.
-
Smoothed Online Learning: Theory and Applications
… theoretical results surrounding modern machine learning are predicated on the assumption that data are independent and identically distributed. Motivated by the numerous applications that do not satisfy this assumption, many researchers have been interested in relaxations of this condition, with …
-
Some Nonlinear Networks Suggested by Learning Theory
… of them. These systems can be interpreted as a learning theory, or alternatively as a nonstationary prediction theory whose goal is to discuss the prediction of individual events, in a fixed order, and at prescribed times. They can also be interpreted as cross-correlated flows on networks, or as …
-
Computational learning theory : new models and algorithms
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1989.
-
Sparsity in Machine Learning: Theory and Applications
Sparsity plays a key role in machine learning for several reasons including interpretability. Interpretability is sought either by practitioners or by scientists. Indeed, on one hand interpretability can be key in a practice such as in healthcare, in which black box models cannot be used for the …
-
Learning theory applications to product design modeling
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2000.
-
An Integration of Learning Theory and Accounting Education
Made available in DSpace on 2014-12-09T23:09:25Z (GMT). No. of bitstreams: 1 6511804.pdf: 12424707 bytes, checksum: fbe528cf63f08156287df3adda4df63f (MD5) Previous issue date: 1965
-
Learning Theory and the Problem of the Self
Made available in DSpace on 2014-12-03T23:50:34Z (GMT). No. of bitstreams: 1 0009083.pdf: 7883733 bytes, checksum: 830e7ff6c705cd912412d6497e5e8a38 (MD5) Previous issue date: 1954
-
Topics in computational learning theory and graph algorithms
"The distribution-independent model of concept learning from examples (""PAC-learning"") due to Valiant is investigated. It has previously been shown that the existence of an Occam algorithm for a class of concepts is a sufficient condition for the PAC-learnability of that class. (An Occam …
-
Application of statistical learning theory to plankton image analysis
… the problem by applying statistical machine learning to video images collected by an optical sampler, the Video Plankton Recorder (VPR). The research is focused on development of a real-time automatic plankton recognition system to estimate plankton abundance. The system includes four major …
-
A Learning Theory Approach to Stress and Stress Management
… was threefold:(l) to review and evaluate stress theory and literature, (2) to construct a learning theory approach to the fields of stress research and stress management, and (3) to design stress-management instructional materials based on the reconceptualization. Procedure. A review of stress …
-
Another look at social learning theory and dating violence
1 PDF file (vi, 98 leaves ; 28 cm)
-
Nonlinear and geometric control methods in deep learning theory
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-12-01
-
Low-rank estimation and embedding learning: theory and applications
… estimation models and the other is embedding learning models. For data matrices, low-rank estimation is to recover an underlying data matrix, subject to the constraint the matrix is of reduced rank. Such analysis is also generalized to the high-dimensional higher-order tensor data. Meanwhile, …
-
A learning theory approach to students' misconceptions in calculus
… students' errors in calculus through the lens of learning theories. The subjects in this study were 117 students enrolled in a calculus course for students from disadvantaged educational backgrounds at the University of Cape Town. A coding scheme to categorise the errors that these students made …
-
Application of statistical learning theory to plankton image analysis
… the problem by applying statistical machine learning to video images collected by an optical sampler, the Video Plankton Recorder (VPR). The research is focused on development of a real-time automatic plankton recognition system to estimate plankton abundance. The system includes four major …
-
Hierarchical learning : theory with applications in speech and vision
Over the past two decades several hierarchical learning models have been developed and applied to a diverse range of practical tasks with much success. Little is known, however, as to why such models work as well as they do. Indeed, most are difficult to analyze, and cannot be easily characterized …
-
A Rate of Convergence for Learning Theory with Consensus
This thesis poses and solves a distribution free learning problem with consensus that arises in the study of estimation and control strategies for distributed sensor networks. Each node i for i = 1, . . . , n of the sensor network collects independent and identically distributed local measurements …
-
A Learning Theory Paradigm for Perceptual Vigilance and Perceptual Defense Phenomena
Made available in DSpace on 2014-12-03T23:50:34Z (GMT). No. of bitstreams: 1 0009124.pdf: 3325466 bytes, checksum: 06070e8a05a212ae0807c94a1b431d42 (MD5) Previous issue date: 1954
Page 1 of 33