Sciweavers

3020 search results - page 17 / 604
» Human dialogue modelling using machine learning
Sort
View
205
Voted
CSL
2012
Springer
13 years 11 months ago
Reinforcement learning for parameter estimation in statistical spoken dialogue systems
Reinforcement techniques have been successfully used to maximise the expected cumulative reward of statistical dialogue systems. Typically, reinforcement learning is used to estim...
Filip Jurcícek, Blaise Thomson, Steve Young
142
Voted
GECCO
2004
Springer
110views Optimization» more  GECCO 2004»
15 years 9 months ago
Using GP to Model Contextual Human Behavior
To create a realistic environment, some simulations require simulated agents with human behavior pattern. Creating such agents with realistic behavior can be a tedious and time con...
Hans Fernlund, Avelino J. Gonzalez
AAAI
2008
15 years 6 months ago
Structure Learning on Large Scale Common Sense Statistical Models of Human State
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
William Pentney, Matthai Philipose, Jeff A. Bilmes
145
Voted
NIPS
2004
15 years 5 months ago
Using Machine Learning to Break Visual Human Interaction Proofs (HIPs)
Machine learning is often used to automatically solve human tasks. In this paper, we look for tasks where machine learning algorithms are not as good as humans with the hope of ga...
Kumar Chellapilla, Patrice Y. Simard
127
Voted
BXML
2003
15 years 5 months ago
XML-Based Dialogue Descriptions in the GEMINI Project
Abstract: GEMINI (Generic Environment for Multilingual Interactive Natural Interfaces) is an EC funded research project. The goal of GEMINI is to provide a flexible platform for t...
Stefan W. Hamerich, Yu-Fang H. Wang, Volker Schube...