Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms.
Konstantinos KaranasosYiwen ZhuAbhiram EswaranLiqun ShaoJanhavi Suresh MahajanSubru KrishnanSudhir DarbhaMinsoo ThigpenKristin LieberSoundar SrinivasanSiqi LiuCarlo CurinoPublished in: SoCC (2019)
Keyphrases
- class labels
- data points
- training set
- machine learning
- labeled and unlabeled data
- text classification
- prior knowledge
- labeled instances
- labeled data
- text categorization
- data sets
- learning algorithm
- positive examples
- decision trees
- transfer learning
- named entities
- supervised learning algorithms
- semi supervised classification
- label propagation
- supervised learning
- training examples
- unlabeled data
- training data
- labeled examples
- co training
- domain adaptation
- active learning
- semi supervised learning algorithms
- labeled training data
- semi supervised
- object recognition
- semi supervised learning