23 citations · 54 across the 9 of their papers we have counts for
4 papers · 1 filter
Error Correction in Learning using SVMs
Srivatsan Laxman, Sushil Mittal, Ramarathnam Venkatesan
This paper is concerned with learning binary classifiers under adversarial label-noise. We introduce the problem of error-correction in learning where the goal is to recover the or…
Streaming Algorithms for Pattern Discovery over Dynamically Changing Event Sequences
Debprakash Patnaik, Naren Ramakrishnan, Srivatsan Laxman +1
Discovering frequent episodes over event sequences is an important data mining task. In many applications, events constituting the data sequence arrive as a stream, at furious rate…
Temporal data mining for root-cause analysis of machine faults in automotive assembly lines
Srivatsan Laxman, Basel Shadid, P. S. Sastry +1
Engine assembly is a complex and heavily automated distributed-control process, with large amounts of faults data logged everyday. We describe an application of temporal data minin…
Inferring Dynamic Bayesian Networks using Frequent Episode Mining
Debprakash Patnaik, Srivatsan Laxman, Naren Ramakrishnan
Motivation: Several different threads of research have been proposed for modeling and mining temporal data. On the one hand, approaches such as dynamic Bayesian networks (DBNs) pro…