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APNOMS
2006
Springer
15 years 10 months ago
Hybrid Inference Architecture and Model for Self-healing System
Distributed computing systems are continuously increasing in complexity and cost of managing, and system management tasks require significantly higher levels of autonomic managemen...
Giljong Yoo, Jeongmin Park, Eunseok Lee
UAI
2008
15 years 8 months ago
Learning Hidden Markov Models for Regression using Path Aggregation
We consider the task of learning mappings from sequential data to real-valued responses. We present and evaluate an approach to learning a type of hidden Markov model (HMM) for re...
Keith Noto, Mark Craven
COGSR
2011
102views more  COGSR 2011»
15 years 1 months ago
Rethinking cognitive architecture via graphical models
Cognitive architectures need to resolve the diversity dilemma – i.e., to blend diversity and simplicity – in order to couple functionality and efficiency with integrability, e...
Paul S. Rosenbloom
JMLR
2010
118views more  JMLR 2010»
15 years 1 months ago
Dirichlet Process Mixtures of Generalized Linear Models
We propose Dirichlet Process mixtures of Generalized Linear Models (DP-GLMs), a new method of nonparametric regression that accommodates continuous and categorical inputs, models ...
Lauren Hannah, David M. Blei, Warren B. Powell
CMSB
2009
Springer
16 years 1 months ago
Computing Reachable States for Nonlinear Biological Models
Abstract. In this paper we describe reachability computation for continuous and hybrid systems and its potential contribution to the process of building and debugging biological mo...
Thao Dang, Colas Le Guernic, Oded Maler