Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms.
Liqun ShaoYiwen ZhuSiqi LiuAbhiram EswaranKristin LieberJanhavi Suresh MahajanMinsoo ThigpenSudhir DarbhaSubru KrishnanSoundar SrinivasanCarlo CurinoKonstantinos KaranasosPublished in: SoCC (2019)
Keyphrases
- unlabeled data
- semi supervised learning
- labeled data
- semi supervised
- active learning
- data points
- semi supervised classification
- co training
- training set
- text categorization
- training data
- supervised learning
- learning algorithm
- labeled examples
- text classification
- number of labeled examples
- labeled training data
- positive examples
- small set of labeled
- class labels
- domain adaptation
- label propagation
- machine learning
- labeled and unlabeled data
- supervised learning algorithms
- labeled instances
- unlabeled instances
- training examples
- decision trees
- unsupervised learning
- prior knowledge
- sample selection bias
- support vector
- select relevant features