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2017年主动学习大数据国际研讨会（The International Workshop on Active Learning for Big Data）(ALBD-2017)
2017年 主动学习大数据 研讨会
2017/3/28
Active Learning addresses the interaction between Machine Learning/Data Mining algorithms and human feedbacks, reduces the human efforts for manual labelling, avoids data redundancy, and improves the ...
第二届国际主动学习研讨会（2nd International Workshop on Active Learning: Applications, Foundations and Emerging Trends）
第二届国际 主动学习 研讨会
2017/3/21
Science, technology, and commerce increasingly recognize the importance of machine learning approaches for data-intensive, evidence based decision making.
CONCEPT FOR A COMPOUND ANALYSIS IN ACTIVE LEARNING FOR REMOTE SENSING
Analysis Active Learning Remote Sensing Framework Usability
2015/4/1
Active learning reduces training costs for supervised classification by acquiring ground truth data only for the most useful samples. We present a new concept for the analysis of active learning techn...
Limited Labels for Unlimited Data: Active Learning for Speaker Recognition
speaker recognition i-vectors active learning
2014/11/27
In this paper, we attempt to quantify the amount of labeled data necessary to build a state-of-the-art speaker recognition system. We begin by using i-vectors and the cosine similarity metric to repre...
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...
Intelligent Evidence-Based Management for Data Collection and Decision-Making Using Algorithmic Randomness and Active Learning
Active Learning Algorithmic Information Theory Algorithmic Randomness Evidence-Based Management Kolmogorov Complexity P-Values Transduction Critical States Prediction
2013/1/28
We describe here a comprehensive framework for intelligent information management (IIM) of data collection and decision-making actions for reliable and robust event processing and recognition. This is...
Multiple Kernel Active Learning for Image Classification
Multiple Kernel Active Image Classification
2010/12/20
Recently, multiple kernel learning (MKL) methods have shown promising performance in image classification. As a sort of supervised learning, training MKL-based classifiers
relies on selecting and ann...
MULTIPLE KERNEL ACTIVE LEARNING FOR IMAGE CLASSIFICATION
Multiple kernel learning active learning image classification
2013/7/16
Recently, multiple kernel learning (MKL) methods have shown promising performance in image classification. As a sort of supervised learning, training MKL-based classifiers relies on selecting and anno...