Bilingual phrases for statistical machine translation
... j ≤ j ≤ j + m ⇐⇒ i ≤ i ≤ i + n} (4) partial hypothesis (g = P r(e1 )P r(f1 |e1 )). The translation procedure can be deTypically, in order to obtain better bilinscribed as: The system maintains a large gual phrases, different word alignment sets set of hypotheses, each of which has a corare combined. ...
... j ≤ j ≤ j + m ⇐⇒ i ≤ i ≤ i + n} (4) partial hypothesis (g = P r(e1 )P r(f1 |e1 )). The translation procedure can be deTypically, in order to obtain better bilinscribed as: The system maintains a large gual phrases, different word alignment sets set of hypotheses, each of which has a corare combined. ...
Unsupervised Learning of Cell Activities in the Associative Cortex of Behaving Monkeys, Using HMM
... from the single cell to the complete network activity. So far, there has been no general method for relating extracellular electrophysiological measured activity of neurons in the associative cortex to the underlying network or the cell-assembly states. It is proposed here to model such data as a pa ...
... from the single cell to the complete network activity. So far, there has been no general method for relating extracellular electrophysiological measured activity of neurons in the associative cortex to the underlying network or the cell-assembly states. It is proposed here to model such data as a pa ...
Learning Basis Functions in Hybrid Domains
... Abstract Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea of the approach is to approximate the optimal value function by a set of basis functions and optimize their weig ...
... Abstract Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea of the approach is to approximate the optimal value function by a set of basis functions and optimize their weig ...
Directed Model Checking – Planning and Model Checking –
... Solving relaxed plans optimally is NP hard , but decision problem to determine, if a relaxed problem has a solution, is computationally tractable Extension to planning problems with numerical state variables and further to non-linear tasks ...
... Solving relaxed plans optimally is NP hard , but decision problem to determine, if a relaxed problem has a solution, is computationally tractable Extension to planning problems with numerical state variables and further to non-linear tasks ...
PDF
... Heavy-tailed distributions were first introduced by Pareto in the context of income distributions and were extensively studied by Lévy. Until Mandelbrot's work on fractals these types of distributions, also called power-law distributions, were often considered pathological cases. Recently, heavy-tai ...
... Heavy-tailed distributions were first introduced by Pareto in the context of income distributions and were extensively studied by Lévy. Until Mandelbrot's work on fractals these types of distributions, also called power-law distributions, were often considered pathological cases. Recently, heavy-tai ...
The Power of Mathematical Visualisation
... - 4 times re graphing functions and interpreting features of graphs - 2 times in geometry re visualizing relationships between two- and three-dimensional objects. ...
... - 4 times re graphing functions and interpreting features of graphs - 2 times in geometry re visualizing relationships between two- and three-dimensional objects. ...
Reward and punishment act as distinct factors in guiding behavior
... two blocks. In 20% of trials, we randomly interleaved cases in which no auditory stimulus was present. When no sound was heard, subjects were instructed to choose either key (i.e., to either press the left key with the left index finger or the right key with the right index finger). The purpose of t ...
... two blocks. In 20% of trials, we randomly interleaved cases in which no auditory stimulus was present. When no sound was heard, subjects were instructed to choose either key (i.e., to either press the left key with the left index finger or the right key with the right index finger). The purpose of t ...
applying artificial neural networks in slope stability related
... model, input, hidden and output layer, in a research area at Potenza, Italy. The authors concluded that the neural networks model that they used constituted a relatively simple solution to complex problems, such as those concerning the estimation of landslide susceptibility. However, they also repor ...
... model, input, hidden and output layer, in a research area at Potenza, Italy. The authors concluded that the neural networks model that they used constituted a relatively simple solution to complex problems, such as those concerning the estimation of landslide susceptibility. However, they also repor ...
Explaining Bayesian Networks using Argumentation
... method to extract arguments from a BN, in which we first extract an intermediate support structure that guides the argument construction process. This results in numerically backed arguments based on probabilistic information modelled in a BN. We apply our method to a legal example but the approach ...
... method to extract arguments from a BN, in which we first extract an intermediate support structure that guides the argument construction process. This results in numerically backed arguments based on probabilistic information modelled in a BN. We apply our method to a legal example but the approach ...
