Sciweavers

736 search results - page 27 / 148
» High-order functions and their ordering relations
Sort
View
83
Voted
ILP
2003
Springer
15 years 2 months ago
Graph Kernels and Gaussian Processes for Relational Reinforcement Learning
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
Thomas Gärtner, Kurt Driessens, Jan Ramon
AAAI
2008
14 years 12 months ago
A General Method for Reducing the Complexity of Relational Inference and its Application to MCMC
Many real-world problems are characterized by complex relational structure, which can be succinctly represented in firstorder logic. However, many relational inference algorithms ...
Hoifung Poon, Pedro Domingos, Marc Sumner
NIPS
2008
14 years 11 months ago
Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
Shenghuo Zhu, Kai Yu, Yihong Gong
COMBINATORICS
2007
81views more  COMBINATORICS 2007»
14 years 9 months ago
The m-Colored Composition Poset
We define a partial order on colored compositions with many properties analogous to Young’s lattice. We show that saturated chains correspond to colored permutations, and that ...
Brian Drake, T. Kyle Petersen
78
Voted
ROCAI
2004
Springer
15 years 2 months ago
ROC Optimisation of Safety Related Systems
Abstract. Many safety related and critical systems warn of potentially dangerous events; for example the Short Term Conflict Alert (STCA) system warns of airspace infractions betw...
Jonathan E. Fieldsend, Richard M. Everson