Sciweavers

IJCAI
2007
14 years 1 months ago
Computational Aspects of Analyzing Social Network Dynamics
Motivated by applications such as the spread of epidemics and the propagation of influence in social networks, we propose a formal model for analyzing the dynamics of such networ...
Christopher L. Barrett, Harry B. Hunt III, Madhav ...
IJCAI
2007
14 years 1 months ago
Building Portable Options: Skill Transfer in Reinforcement Learning
The options framework provides a method for reinforcement learning agents to build new high-level skills. However, since options are usually learned in the same state space as the...
George Konidaris, Andrew G. Barto
IJCAI
2007
14 years 1 months ago
Backtracking Procedures for Hypertree, HyperSpread and Connected Hypertree Decomposition of CSPs
Hypertree decomposition has been shown to be the most general CSP decomposition method. However, so far the exact methods are not able to find optimal hypertree decompositions of...
Sathiamoorthy Subbarayan, Henrik Reif Andersen
IJCAI
2007
14 years 1 months ago
Completing Description Logic Knowledge Bases Using Formal Concept Analysis
Abstract. We propose an approach for extending both the terminological and the assertional part of a Description Logic knowledge base by using information provided by the knowledge...
Franz Baader, Bernhard Ganter, Baris Sertkaya, Ulr...
IJCAI
2007
14 years 1 months ago
Extracting and Visualizing Trust Relationships from Online Auction Feedback Comments
Buyers and sellers in online auctions are faced with the task of deciding who to entrust their business to based on a very limited amount of information. Current trust ratings on ...
John O'Donovan, Barry Smyth, Vesile Evrim, Dennis ...
IJCAI
2007
14 years 1 months ago
General Game Learning Using Knowledge Transfer
We present a reinforcement learning game player that can interact with a General Game Playing system and transfer knowledge learned in one game to expedite learning in many other ...
Bikramjit Banerjee, Peter Stone
IJCAI
2007
14 years 1 months ago
A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
IJCAI
2007
14 years 1 months ago
Deictic Option Schemas
Deictic representation is a representational paradigm, based on selective attention and pointers, that allows an agent to learn and reason about rich complex environments. In this...
Balaraman Ravindran, Andrew G. Barto, Vimal Mathew
IJCAI
2007
14 years 1 months ago
Mechanism Design with Partial Revelation
Classic direct mechanisms require full type (or utility) revelation from participating agents, something that can be very difficult in practical multi-attribute settings. In this...
Nathanael Hyafil, Craig Boutilier