| * | 2009 |
|---|
| 7 | EE | Mikhail Belkin,
Kaushik Sinha:
Learning Gaussian Mixtures with Arbitrary Separation
CoRR abs/0907.1054: (2009) |
| 2007 |
|---|
| 6 | EE | Kaushik Sinha,
Mikhail Belkin:
The Value of Labeled and Unlabeled Examples when the Model is Imperfect.
NIPS 2007 |
| 5 | EE | Alfredo Garcia,
Stephen D. Patek,
Kaushik Sinha:
A Decentralized Approach to Discrete Optimization via Simulation: Application to Network Flow.
Operations Research 55(4): 717-732 (2007) |
| 2006 |
|---|
| 4 | | Kaushik Sinha,
Ruoming Jin,
Gagan Agrawal,
Helen Piontkivska:
Exploratory Tools for FollowUp Studies to Microarray Experiments.
BIBE 2006: 81-85 |
| 2005 |
|---|
| 3 | EE | Kaushik Sinha,
Xuan Zhang,
Ruoming Jin,
Gagan Agrawal:
Using Data Mining Techniques to Learn Layouts of Flat-File Biological Datasets.
BIBE 2005: 177-184 |
| 2 | EE | Kaushik Sinha,
Xuan Zhang,
Ruoming Jin,
Gagan Agrawal:
Learning Layouts of Biological Datasets Semi-automatically.
DILS 2005: 31-45 |
| 1 | EE | Ruoming Jin,
Kaushik Sinha,
Gagan Agrawal:
Simultaneous optimization of complex mining tasks with a knowledgeable cache.
KDD 2005: 600-605 |
