2363 search results - page 283 / 473 » Learning Algorithms for Domain Adaptation |
98
Voted
EMNLP
2006
15 years 2 months ago
2006
This paper demonstrates how unsupervised techniques can be used to learn models of deep linguistic structure. Determining the semantic roles of a verb's dependents is an impo...
93
Voted
AAAI
2006
15 years 2 months ago
2006
Many learning tasks in adversarial domains tend to be highly dependent on the opponent. Predefined strategies optimized for play against a specific opponent are not likely to succ...
109
Voted
LREC
2008
15 years 2 months ago
2008
In many applications of natural language processing (NLP) grammatically tagged corpora are needed. Thus Part of Speech (POS) Tagging is of high importance in the domain of NLP. Ma...
102
Voted
ECML
2007
Springer
15 years 6 months ago
2007
Springer
We present Policy Gradient Actor-Critic (PGAC), a new model-free Reinforcement Learning (RL) method for creating limited-memory stochastic policies for Partially Observable Markov ...
108
Voted
IJCAI
2003
15 years 2 months ago
2003
A new approach to the Text Categorization problem is here presented. It is called Gaussian Weighting and it is a supervised learning algorithm that, during the training phase, est...