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The limitations of traditional knowledge representation methods for modeling complex human behaviour led to the investigation of statistical models. Predictive statistical models enable the anticipation of certain aspects of human behaviour, such as goals, actions and preferences. In this paper, we motivate the development of these models in the context of(More)
We present an approach to keyhole plan recognition which uses a Dynamic Belief Network to represent features of the domain that are needed to identify users' plans and goals. The structure of this network was determined from analysis of the domain. The conditional probability distributions are learned during a training phase, which dynamically builds these(More)
Users' waiting time for information on the WWW may be reduced by pre-sending documents they are likely to request, albeit at a possible expense of additional transmission costs. In this paper, we describe a prediction model which anticipates the documents a user is likely to request next, and present a decision-theoretic approach for pre-sending documents(More)
We present an approach to keyhole plan recognition which uses a dynamic belief (Bayesian) network to represent features of the domain that are needed to identify users' plans and goals. The application domain is a MultiUser Dungeon adventure game with thousands of possible actions and locations. We propose several network structures which represent the(More)
Lexicon entry1: Data: The Lexical Access Problem consists of determining the intended sequence of words corresponding to an input sequence of phonemes (basic speech sounds) that come from a low-level phoneme recognizer. In this paper we present an information-theoretic approach based on the Minimum Message Length Criterion for solving the Lexical Access(More)
HTLV-1-associated myelopathy/tropical spastic paraparesis (TSP/HAM) is a chronic CNS disease characterized by axomyelinic degeneration of the long axons of corticospinal tracts. Levels of NGF, NT-3, NT-4/5, BDNF, GDNF, CNTF, and FGF-2 were measured in the cerebrospinal fluid (CSF) of 21 TSP/HAM patients and 20 controls. NGF, BDNF, and FGF-2 levels were also(More)
In this paper we improve on the supervised classification method developed in Kornienko et al. (2002) by the introduction of Principal Component Analysis to the inference process. We also extend the classifier from dealing with binomial problems only to multinomial problems. The classifier uses the Minimum Message Length (MML) criterion as an objective(More)
We present a decision-theoretic model which determines whether to pre-send web documents a user is likely to request. Our model balances the cost of transmitting information with the inconvenience or cost to a user caused by having to wait for required information. It uses a Markov model built from web-access data to predict which documents are likely to be(More)