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18,151
The Infinite Hidden Markov Model
 Machine Learning
, 2002
"... We show that it is possible to extend hidden Markov models to have a countably infinite number of hidden states. By using the theory of Dirichlet processes we can implicitly integrate out the infinitely many transition parameters, leaving only three hyperparameters which can be learned from data. Th ..."
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Cited by 637 (41 self)
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. These three hyperparameters define a hierarchical Dirichlet process capable of capturing a rich set of transition dynamics. The three hyperparameters control the time scale of the dynamics, the sparsity of the underlying statetransition matrix, and the expected number of distinct hidden states in a finite
EndtoEnd Internet Packet Dynamics,”
 Proc. SIGCOMM '97,
, 1997
"... Abstract We discuss findings from a largescale study of Internet packet dynamics conducted by tracing 20,000 TCP bulk transfers between 35 Internet sites. Because we traced each 100 Kbyte transfer at both the sender and the receiver, the measurements allow us to distinguish between the endtoend ..."
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Cited by 843 (19 self)
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Abstract We discuss findings from a largescale study of Internet packet dynamics conducted by tracing 20,000 TCP bulk transfers between 35 Internet sites. Because we traced each 100 Kbyte transfer at both the sender and the receiver, the measurements allow us to distinguish between the end
Transitional Dynamics in TwoSector Models of Endogenous Growth
, 1993
"... We analyze the steady state and transitional dynamics of twosector models of endogenous growth. The necessary conditions for endogenous growth imply that transitions depend only on a measure of the imbalance between the two sectors such as the ratio of the two capital stocks. We use the TimeElimin ..."
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Cited by 142 (1 self)
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We analyze the steady state and transitional dynamics of twosector models of endogenous growth. The necessary conditions for endogenous growth imply that transitions depend only on a measure of the imbalance between the two sectors such as the ratio of the two capital stocks. We use the Time
Transitional Dynamics in Transition Economics
, 1999
"... this paper is to provide a formal framework for analyzing the transition paths of aggregate income and capital in a reforming economy, which, depending on the values of the underlying economic parameters can explain the variety of growth patterns exhibited by the CEEC in the 90s, with some of them r ..."
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this paper is to provide a formal framework for analyzing the transition paths of aggregate income and capital in a reforming economy, which, depending on the values of the underlying economic parameters can explain the variety of growth patterns exhibited by the CEEC in the 90s, with some of them
the Phase Transition Dynamics
, 1994
"... The baryogenesis is reanalyzed based on the model by A.G.Cohen et al., in which the lepton number, generated by the neutrinos ’ scattering from the bubble walls appearing in the development of the electroweak phase transition, is converted to the baryon number excess through the sphaleron transition ..."
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as the fusion effect of the bubbles. The details of such phase transition dynamics are found to affect considerably the final value of the baryon number excess. Baryogenesis in the universe was studied originally in the grand unified theories in the late 70’s [0]. After the discovery of the baryon number
HyTech: A Model Checker for Hybrid Systems
 Software Tools for Technology Transfer
, 1997
"... A hybrid system is a dynamical system whose behavior exhibits both discrete and continuous change. A hybrid automaton is a mathematical model for hybrid systems, which combines, in a single formalism, automaton transitions for capturing discrete change with differential equations for capturing conti ..."
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Cited by 473 (6 self)
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A hybrid system is a dynamical system whose behavior exhibits both discrete and continuous change. A hybrid automaton is a mathematical model for hybrid systems, which combines, in a single formalism, automaton transitions for capturing discrete change with differential equations for capturing
Phase Transition Dynamics With Memory
, 1999
"... . We consider the following partial integrodifferential equations which generalize the classical phase field equations with a nonconserved order parameter and describe the process of phase transitions where memory effects are present, 8 ! : u t + ffl 2 OE t = R t 0 a 1 (t \Gamma ø ) \Delta ..."
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Cited by 5 (3 self)
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. We consider the following partial integrodifferential equations which generalize the classical phase field equations with a nonconserved order parameter and describe the process of phase transitions where memory effects are present, 8 ! : u t + ffl 2 OE t = R t 0 a 1 (t \Gamma ø
Analyzing Transition Dynamics
, 2010
"... ynam ics Transition can be characterized as longterm structural changes in the societal systems, through which the way these systems function change significantly. Both the scope and extent of change, and the nature of the societal systems make transition processes a complex dynamic phenomena to un ..."
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ynam ics Transition can be characterized as longterm structural changes in the societal systems, through which the way these systems function change significantly. Both the scope and extent of change, and the nature of the societal systems make transition processes a complex dynamic phenomena
Policy gradient methods for reinforcement learning with function approximation.
 In NIPS,
, 1999
"... Abstract Function approximation is essential to reinforcement learning, but the standard approach of approximating a value function and determining a policy from it has so far proven theoretically intractable. In this paper we explore an alternative approach in which the policy is explicitly repres ..."
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Cited by 439 (20 self)
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, . . .} are denoted s t ∈ S, a t ∈ A, and r t ∈ respectively. The environment's dynamics are characterized by state transition probabilities, P a ss = P r {s t+1 = s  s t = s, a t = a}, and expected rewards R a s = E {r t+1  s t = s, a t = a}, ∀s, s ∈ S, a ∈ A. The agent's decision making procedure
Time and transition in work teams: Toward a new model of group development.
 Academy of Management Journal,
, 1988
"... This study of the complete lifespans of eight naturallyocurring teams began with the unexpected finding that several project groups, studied for another purpose, did not accomplish their work by progressing gradually through a universal series of stages, as traditional group development models wo ..."
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Cited by 377 (4 self)
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' awareness of time and deadlines than by completion of an absolute amount of work in a specific developmental stage. The paper proposes a new model of group development that encompasses the timing and mechanisms of change as well as groups' dynamic relations with their contexts. Implications for theory
Results 1  10
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