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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：The Use of Machine Learning in Treatment Effect Estimation
机器学习 治疗效果 估计
2023/5/8
We present recent developments in double machine learning (DML) approach. The DML approach is concerned primarily with selecting the relevant control variables and functional forms necessary for the c...
ACCURACY ESTIMATION OF THE OPTICAL FLOWMETHODS IN THE IRIS STRUCTURE MOTION ANALYSIS VIA CONTROLLED DEFORMATIONS
Biometrics Iris Structure Computer Vision Image Analysis Optical Flow Horn-Schunck Method Lucas-Kanade Method Accuracy Estimation
2017/6/19
The iris structure motion is analyzed. Extension and compression of the iris structural elements are nonlinear with respect to the pupil radius change. To reveal this nonlinearity the Lucas-Kanade, Ho...
LANGUAGE MODEL PARAMETER ESTIMATION USING USER TRANSCRIPTIONS
speech recognition, language modeling, adaptation
2014/11/27
In limited data domains, many effective language modeling techniques construct models with parameters to be estimated on an in-domain development set. However, in some domains, no such data exist beyo...
郑州大学电气工程学院智能控制基础课件第3章 Fuzzy Identification and Estimation
郑州大学电气工程学院 智能控制基础 课件 第3章 Fuzzy Identification and Estimation
2013/10/23
郑州大学电气工程学院智能控制基础课件第3章 Fuzzy Identification and Estimation。
An Investigation on the Effectiveness of Features for Translation Quality Estimation
Investigation Effectiveness Features Translation Quality Estimation
2014/3/20
We describe a systematic analysis on the effectiveness of features commonly exploited for the problem of predicting machine translation quality. Using a feature selection technique based on Gaussian P...
Modelling Annotator Bias with Multi-task Gaussian Processes: An Application to Machine Translation Quality Estimation
Modelling Annotator Bias Multi-task Gaussian Processes:Machine Translation Quality Estimation
2014/3/20
Annotating linguistic data is often a complex, time consuming and expensive endeavour. Even with strict annotation guidelines, human subjects often deviate in their analyses, each bringing different b...
Reducing Annotation Effort for Quality Estimation via Active Learning
Reducing Annotation Effort Quality Estimation via Active Learning
2014/3/20
Quality estimation models provide feedback on the quality of machine translated texts. They are usually trained on humanannotated datasets, which are very costly due to its task-specific nature. We in...
QuEst - A translation quality estimation framework
QuEst - A translation quality estimation framework
2014/3/20
We describe QUEST, an open source framework for machine translation quality estimation. The framework allows the extraction of several quality indicators from source segments, their translations, exte...
A State Estimation Method for Sound Environment System with Unknown Observation Mechanism by Introducing Fuzzy Inference
State Estimation Sound Environment System Unknown Observation Mechanism Fuzzy Inference
2013/1/28
The observed phenomena in real sound environment system often contain uncertainty such as the additional external noise with unknown statistics. Furthermore, there is complex nonlinear relationship be...
Prostate biopsy tracking with deformation estimation
image-based tracking prostate tracking prostate biopsy maps guided prostate biopsies 3D ultrasound registration
2011/8/16
Abstract: Transrectal biopsies under 2D ultrasound (US) control are the current clinical standard for prostate cancer diagnosis. The isoechogenic nature of prostate carcinoma makes it necessary to sam...
Accurate Parameter Estimation for an Articulatory Speech Synthesizer with an Improved Neural Network Mapping
Accurate Parameter Estimation Articulatory Speech Synthesizer Improved Neural Network Mapping
2009/7/27
Neural network (NN) applications have recently been employed to extract the parameters of an articulatory speech synthesizer from a given speech signal. Results from these attempts showed that a singl...