We describe a system for deep reinforcement learning of robotic manipula...
Time series classification is an important data mining task that has rec...
Recent rapid development of sensor technology has allowed massive
fine-g...
While much attention has been paid to identifying explicit hate speech,
...
Time series motif discovery has been a fundamental task to identify
mean...
We explore the relationship between recursive distributional equations a...
Previous work on Entity Linking has focused on resources targeting non-n...
We prove distributional convergence for a family of random processes on
...
Finding anomalous subsequence in a long time series is a very important ...
Time series anomaly detection is an important task, with applications in...
Detecting repeating patterns of different lengths in time series, also c...
Detecting repeated variable-length patterns, also called variable-length...