DATA MINING OF INPUTS: ANALYSING MAGNITUDE AND
... The problem of data encoding and feature selection for training back-propagation neural networks is well known. The basic principles are to avoid encrypting the underlying structure of the data, and to avoid using irrelevant inputs. This is not easy in the real world, where we often receive data whi ...
... The problem of data encoding and feature selection for training back-propagation neural networks is well known. The basic principles are to avoid encrypting the underlying structure of the data, and to avoid using irrelevant inputs. This is not easy in the real world, where we often receive data whi ...
Automated Planning and Model Checking
... planning using PDDL, a key semantic issue is the use of epsilon time to separate interdependent actions, in order to prevent the planner from relying on synchronised activity. For example, if an action, A, achieves the precondition of another action, B, the validity of the plan depends on A being or ...
... planning using PDDL, a key semantic issue is the use of epsilon time to separate interdependent actions, in order to prevent the planner from relying on synchronised activity. For example, if an action, A, achieves the precondition of another action, B, the validity of the plan depends on A being or ...
Models and Algorithms for Production Planning
... is better than the methods described in the literature. Voorhis at al. [23] have developed a computer system for generating pouring schedules in steel foundries. The system automates the planning process by estimating the impact of pouring sequences on work in progress (WIP) level. The integer progr ...
... is better than the methods described in the literature. Voorhis at al. [23] have developed a computer system for generating pouring schedules in steel foundries. The system automates the planning process by estimating the impact of pouring sequences on work in progress (WIP) level. The integer progr ...
SESSION 1: PROOF 1. What is a “proof”
... If we could find integers n, x, y, z such that xn + y n = z n , then n, x, y, z would be a counterexample to the above statement, and we would conclude that the above statement is false; namely there exist integers n, x, y, z such that xn + y n = z n . Indeed, n = x = y = 1, and z = 2 is a counterex ...
... If we could find integers n, x, y, z such that xn + y n = z n , then n, x, y, z would be a counterexample to the above statement, and we would conclude that the above statement is false; namely there exist integers n, x, y, z such that xn + y n = z n . Indeed, n = x = y = 1, and z = 2 is a counterex ...
Assessing Elaborated Hypotheses: An Interpretive Case
... portion of the general interpretive CBR process (Kolodner & Leake 1996) in which an interpretation is proposed. To illustrate, if an input hypothesis posited an industry takeover, the trace extraction process would start with the mapping between the specific hypothesis and a general model of industr ...
... portion of the general interpretive CBR process (Kolodner & Leake 1996) in which an interpretation is proposed. To illustrate, if an input hypothesis posited an industry takeover, the trace extraction process would start with the mapping between the specific hypothesis and a general model of industr ...
Are fast/slow process in motor adaptation and forward/inverse
... Another question is whether the fast and slow processes have different neural basis [11] or result from multiple time-scales in the synaptic plasticity of single neurons [12]. Achieved data in [2] proposed that fast and slow components of motor memory may be anatomically distinct from each other. Ba ...
... Another question is whether the fast and slow processes have different neural basis [11] or result from multiple time-scales in the synaptic plasticity of single neurons [12]. Achieved data in [2] proposed that fast and slow components of motor memory may be anatomically distinct from each other. Ba ...
Quasiperiodic patterns in Rayleigh-Be´nard convection under gravity modulation
... properties compared to the classical unmodulated RayleighBénard convection @1#. On the linear level the critical Rayleigh number R c and the critical wave number k c for the onset of modulated convection were investigated @2–5#. It is well known @3# that a fluid layer heated from above can be desta ...
... properties compared to the classical unmodulated RayleighBénard convection @1#. On the linear level the critical Rayleigh number R c and the critical wave number k c for the onset of modulated convection were investigated @2–5#. It is well known @3# that a fluid layer heated from above can be desta ...
Infinite-Horizon Proactive Dynamic DCOPs
... In general, IPD-DCOPs can be solved in an online or offline manner. Online approaches have the benefit of observing the actual values of the random variables during execution and can thus exploit these observations to improve the overall solution quality. However, the downside to online approaches i ...
... In general, IPD-DCOPs can be solved in an online or offline manner. Online approaches have the benefit of observing the actual values of the random variables during execution and can thus exploit these observations to improve the overall solution quality. However, the downside to online approaches i ...
