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ICCV
2005
IEEE
14 years 8 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
EACL
1993
ACL Anthology
13 years 8 months ago
A Strategy for Dynamic Interpretation: a Fragment and an Implementation
The strategy for natural language interpretation presented in this paper implements the dynamics of context change by translating natural language texts into a meaning representat...
Olivier Bouchez, Jan van Eijck, Olivier Istace
EUSFLAT
2001
13 years 8 months ago
Similarity measurement on leaf-labelled trees
We outline a method for measuring in an efficient way an overall degree of similarity between different leaf-labelled trees. In particular, we consider rooted trees, either unorde...
Hans De Meyer, Bernard De Baets, Saskia Janssens
CIMCA
2008
IEEE
14 years 1 months ago
Tree Exploration for Bayesian RL Exploration
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
Christos Dimitrakakis
GAMEON
2007
13 years 8 months ago
Map-Adaptive Artificial Intelligence for Video Games
This paper proposes an approach to automatically adapt game AI to the environment of the game (i.e., the socalled map). In the approach, a particular map is first analysed for sp...
Laurens van der Blom, Sander Bakkes, Pieter Spronc...