Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This p...
We argue for the necessity of studying human-human spoken conversations of various kinds in order to create user interfaces to databases. An efficient user interface benefits from...
Tiit Hennoste, Olga Gerassimenko, Riina Kasterpalu...
Wireless network research still lacks methods to integratively evaluate the performance that can be expected from application layer protocols. The user behavior is predominantly aï...
Tobias Breyer, Michael Klein, Philipp Obreiter, Bi...
We present a neural-network-based statistical parser, trained and tested on the Penn Treebank. The neural network is used to estimate the parameters of a generative model of left-...
To improve the performance and wellbeing of humans in complex human-computer interaction settings, an interesting challenge for an ambient (or pervasive) agent system is to recogni...