BIOINFORMATICS
2012
12 years 2 months ago
2012
Summary: The MolClass toolkit and data portal generates computational models from user-defined small molecule datasets based on structural features identified in hit and non-hit m...
CSFW
2011
IEEE
13 years 6 days ago
2011
IEEE
—We propose a much-needed formal definition of security for cryptographic key management APIs. The advantages of our definition are that it is general, intuitive, and applicabl...
IAT
2010
IEEE
13 years 10 months ago
2010
IEEE
-- In this paper it is explored whether personalisation of an existing computational model of attention can increase the model's validity. Computational models of attention ar...
ACL
2010
13 years 10 months ago
2010
This paper presents ongoing research on computational models for non-cooperative dialogue. We start by analysing different levels of cooperation in conversation. Then, inspired by...
NC
2010
13 years 10 months ago
2010
My main objective is to point out a fundamental weakness in the conventional conception of computation and suggest a promising way out. This weakness is directly related to a gross...
AAI
2004
14 years 9 days ago
2004
In open environments in which autonomous agents can break contracts, computational models of trust have an important role to play in determining who to interact with and how inter...
JETAI
2007
14 years 9 days ago
2007
Research in computational cognitive modeling investigates the nature of cognition through developing process-based understanding by specifying computational models of mechanisms (...
JMLR
2008
14 years 12 days ago
2008
The use of computational models is increasingly expected to play an important role in predicting the behaviour of biological systems. Models are being sought at different scales o...
ALIFE
2006
14 years 14 days ago
2006
We show how cultural selection for learnability during the process of linguistic evolution can be visualized using a simple iterated learning model. Computational models of linguis...
COGSCI
2010
14 years 16 days ago
2010
Computational models of meaning trained on naturally occurring text successfully model human performance on tasks involving simple similarity measures, but they characterize meani...