Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms.
Liqun ShaoYiwen ZhuAbhiram EswaranKristin LieberJanhavi Suresh MahajanMinsoo ThigpenSudhir DarbhaSiqi LiuSubru KrishnanSoundar SrinivasanCarlo CurinoKonstantinos KaranasosPublished in: CoRR (2019)
Keyphrases
- unlabeled data
- labeled data
- semi supervised learning
- semi supervised
- co training
- active learning
- supervised learning
- text classification
- labeled training data
- learning algorithm
- data points
- labeled and unlabeled data
- training data
- semi supervised classification
- text categorization
- labeled examples
- training set
- number of labeled examples
- small set of labeled
- prior knowledge
- supervised learning algorithms
- domain adaptation
- class labels
- unlabeled instances
- labeled data for training
- transfer learning
- training examples
- pairwise
- machine learning
- positive and negative
- training samples
- decision boundary
- unsupervised learning
- model selection
- text mining
- high dimensional
- multi view learning
- object recognition
- supervised and semi supervised
- data mining