Results 181 to 190 of about 3,802,745 (249)
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Training and Employment for Correctional Populations
Contexts, 2021Education and employment are both moderate risk factors for recidivism. There is a well-documented relationship between low educational achievement and antisocial behaviors. Education programming in correctional facilities is crucial for improving the educational attainment of incarcerated and re-integrating populations.
Grant Duwe, Makada Henry-Nickie
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Annual Meeting of the Association for Computational Linguistics
Leveraging multiple large language models (LLMs) to build collaborative multi-agentic workflows has demonstrated significant potential. However, most previous studies focus on prompting the out-of-the-box LLMs, relying on their innate capability for ...
Chanwoo Park +5 more
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Leveraging multiple large language models (LLMs) to build collaborative multi-agentic workflows has demonstrated significant potential. However, most previous studies focus on prompting the out-of-the-box LLMs, relying on their innate capability for ...
Chanwoo Park +5 more
semanticscholar +1 more source
Error-correcting training for phoneme spotting
[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1992Error-correcting training is extended to spotting algorithms. An error measure for spotting tasks is defined, and the derivatives of that error with respect to the parameters of the spotter are derived. The derivatives are computed by modifying the backward pass of the forward-backward algorithm.
L.T. Niles, L.D. Wilcox, M.A. Bush
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Identifying and Correcting Mislabeled Training Instances
Future Generation Communication and Networking (FGCN 2007), 2007In order to form a good generalization from a set of training instances, a clean training dataset is important. Unfortunately, real world data is never as perfect as we would like it to be and can often suffered from corruptions. In this paper, a new approach is proposed to identify and correct mislabeled training instances.
Jiang-wen Sun +3 more
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CorrDiff: Corrective Diffusion Model for Accurate MRI Brain Tumor Segmentation
IEEE journal of biomedical and health informaticsAccurate segmentation of brain tumors in MRI images is imperative for precise clinical diagnosis and treatment. However, existing medical image segmentation methods exhibit errors, which can be categorized into two types: random errors and systematic ...
Wenqing Li, Wenhui Huang, Yuanjie Zheng
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Trans. Mach. Learn. Res.
Machine Learning models increasingly face data integrity challenges due to the use of large-scale training datasets drawn from the Internet. We study what model developers can do if they detect that some data was manipulated or incorrect.
Shashwat Goel +4 more
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Machine Learning models increasingly face data integrity challenges due to the use of large-scale training datasets drawn from the Internet. We study what model developers can do if they detect that some data was manipulated or incorrect.
Shashwat Goel +4 more
semanticscholar +1 more source
Movement Correction in Instructed Fitness Training
Proceedings of the 2018 Designing Interactive Systems Conference, 2018The use of technology to assist in instructed fitness training in collocated social settings is underexplored. Here we focus on how technology can be designed to fit within, leverage, and be part of the strategies and tools that fitness trainees and instructors use to detect and correct performance errors.
Laia Turmo Vidal +2 more
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Tambov University Review. Series: Humanities
Importance. The methodological potential of evaluative corrective feedback from the generative artificial intelligence (AI) means is beginning to be used by teachers in teaching learners and students written foreign language utterance.
Yuliya V. Tokmakova, E. Saenko
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Importance. The methodological potential of evaluative corrective feedback from the generative artificial intelligence (AI) means is beginning to be used by teachers in teaching learners and students written foreign language utterance.
Yuliya V. Tokmakova, E. Saenko
semanticscholar +1 more source
Corrective Diffusion Language Models
arXiv.orgWhile Diffusion Language Models (DLMs) are theoretically well-suited for iterative refinement due to their non-causal structure, they often fail to reliably revise incorrect tokens in practice.
Shuibai Zhang +4 more
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Training Correctional Volunteers for Group Discussions
Criminal Justice and Behavior, 1980Sixty-three volunteers were assigned to one of four different institutional programs with fifty incarcerated correctional offenders (trained discussion, untrained discussion, a self-control program and recreation activity) or a delayed-treatment control group. Volunteers were rated on interpersonal skills and discussions were monitored.
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