This paper presents a nonparametric interpretation for modern language model based on the hierarchical Pitman-Yor and Dirichlet (HPYD) process. We propose the HPYD language model (HPYD-LM) which flexibly conducts backoff smoothing and topic clustering through Bayesian nonparametric learning. The nonparametric priors of backoff n-grams and latent topics are tightly coupled in a compound process....

In this contribution we present a Learner Model (LM) of Historical Text Comprehension (HTC), which infers the cognitive profile of learner’s global comprehension concerning the recognition or not of the three fundamental cognitive categories: action, state and event. Moreover the LM infers the profile descriptor, which displays the learner’s learning difficulties. The diagnostic module of the L...

in current study, seven organic fertilizers including; leaf mold (lm), rice husk (rh), manure, spent mushroom compost (smc), mixture of lm, rh and smc (m 1), mixture of lm, rh and manure (m 2) with the ratio of 1:1:1 and control (no fertilizer) along with some levels of soil compactness comprising roller weights of 36, 56, 76 kilogram were used. treatments were applied in a strip plot design wi...

An ensemble of neural networks is known to be more robust and accurate than an individual network, however usually with linearly-increased cost in both training and testing. In this work, we propose a two-stage method to learn Sparse Structured Ensembles (SSEs) for neural networks. In the first stage, we run SG-MCMC with group sparse priors to draw an ensemble of samples from the posterior dist...

Recently there is growing interest in using neural networks for language modeling. In contrast to the well known backoff ngram language models (LM), the neural network approach tries to limit problems from the data sparseness by performing the estimation in a continuous space, allowing by these means smooth interpolations. Therefore this type of LM is interesting for tasks for which only a very...

Fourteen commercial leek fields with first and second generation Leek moth, Acrolepiopsis assectella Z., (LM) injury were sampled during 1986 in The Netherlands. For both generations, plant injury was more prevalent in the perimeter of the field than in interior portions. A sequential sampling program for use in making treatment decisions for LM was developed. An economic analysis of the value ...

Recent years have shown an increasing use of lean manufacturing (LM) principles and tools in several industrial sectors. Already a wellestablished management philosophy, it has shown numerous successful applications even outside production environments. This work presents the application of some LM tools, and the corresponding shift in philosophy, in two Portuguese companies of the food and bev...