13 citations · 14 across the 6 of their papers we have counts for
6 papers
Structured Prediction of Sequences and Trees using Infinite Contexts
Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn +1
Linguistic structures exhibit a rich array of global phenomena, however commonly used Markov models are unable to adequately describe these phenomena due to their strong locality a…
HetFHMM: A novel approach to infer tumor heterogeneity using factorial Hidden Markov model
Gholamreza Haffari, Zhaoxiang Cai, Mohammad S. Rahman +1
Cancer arises from successive rounds of mutations which generate tumor cells with different genomic variation i.e. clones. For drug responsiveness and therapeutics, it is necessary…
Sensor Validation Using Dynamic Belief Networks
Ann Nicholson, J. M. Brady
The trajectory of a robot is monitored in a restricted dynamic environment using light beam sensor data. We have a Dynamic Belief Network (DBN), based on a discrete model of the do…
Deliberation Scheduling for Time-Critical Sequential Decision Making
Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman +1
We describe a method for time-critical decision making involving sequential tasks and stochastic processes. The method employs several iterative refinement routines for solving dif…
Bayesian Poker
Kevin B. Korb, Ann Nicholson, Nathalie Jitnah
Poker is ideal for testing automated reasoning under uncertainty. It introduces uncertainty both by physical randomization and by incomplete information about opponents hands.Anoth…
A Case Study in Knowledge Discovery and Elicitation in an Intelligent Tutoring Application
Ann Nicholson, Tal Boneh, Tim Wilkin +3
Most successful Bayesian network (BN) applications to datehave been built through knowledge elicitation from experts.This is difficult and time consuming, which has lead to recenti…