可训练的

Up to this time, the major challenge to sign language recognition is how to develop approaches that scale well with increasing vocabulary size In this paper, an approach to large vocabulary, continuous Chinese sign language recognition is presented, which uses subwords instead of whole signs as the basic units Since the number of subwords is limited, HMM based training and recognition of the CSL signal become more tractable and have the potential to recognize enlarged vocabularies Furthermore, the proposed method facilitates the CSL recognition when finger alphabet is blended with gestures About 2400 subwords are defined for CSL One HMM is built for each subword, and then the signs are encoded based on these subwords A decoder that uses tree structured network is presented Clustering of the Gaussians on the state, language model and N best is used to improve the performance of the system Experiments on a 5119 sign vocabulary are carried out, and the correct rate is over 90% for continuous sign recognition

迄今为止，手语识别面临的最大问题是如何解决词汇集易扩充的连续识别提出一种大词汇量连续中国手语识别方法，将词根作为识别基元，由于基元的数目是有限的，因此基于HMM的手语信号的训练和识别变得比较容易处理，可以实现更大词汇量的识别除此之外，所提方法还有利于实现手势语和手指语的混合识别从中国手语中共整理出2 4 0 0多个词根，为每个词根建一个并行的HMM模型，对各数据流的HMM模型进行聚类，确定出手语识别的基元根据这些基元对手势词编码，并建立了树状搜索网格，使用状态结点上高斯密度函数聚类、语言模型和N Best方法提高系统的速度和精度对 5 119个手语词做了实验，连续语句的识别率可在 90 %以上

Firstly, we define the two """"views""""of examples by choosing two Classifiers based on different algorithm theory. And then we proposed a example selection method based on the consistence, using two classifiers: Transductive HMM and fhTBL to combine a classification system to perform the Chinese Text chunking task with the small-scale labled Chinese treebank and large-scale unlabled Chinese corpus.

我们通过选取算法理论不同的分类器来定义Co-training方法中的两个"角度"，在选择策略上，我们提出了基于"一致性"的实例添加策略，实验中我们选用基于统计的增益的隐马尔可夫模型和基于转换规则的分类器组合成一个分类体系，并与自我训练方法进行了比较，在小规模汉语树库语料和大规模未带标汉语语料上进行中文组块识别，实验结果要比单纯使用小规模的树库语料有所提高。

A large scale manually annotated Chinese corpus and a number of well-conducted experiments were used to identify the following points of the hidden Markov model based part-of-speech tagging scheme for Chinese texts. The results are:① The Bigram model is better than the Trigram model in terms of the performance-cost ratio.② An annotated corpus of about 70000 words tokens would be sufficient for training the Bigram model, to produce system performance of about 93% tagging accuracy for ambiguous word tokens and 97% tagging accuracy for all word tokens in the texts.③ The Bigram model can be suited to different application domains quite well.

论文在经过人工分词和词类标注的大规模汉语语料库的支持下，通过一系列对比实验，对基于隐Markov模型的汉语词类自动标注算法进行了系统的考察，并得出结论：① Bigram模型的"性能价格比"较Trigram模型更令人满意；②以7万词次左右的标注语料库训练Bigram模型即已基本够用（此时，兼类词词类标注正确率及文本词类标注正确率分别可达93%和97%以上）；③ Bigram模型对不同领域具有一定的适应性。

rubia cordifolia l can promote the mice capacity of antioxidation and reduce the content of mda, have obvious improve great mouse's sports ability.

补充茜草提取物可显著提高小鼠心肌和肝脏组织抗氧化酶的活性，减轻大强度耐力训练对大鼠心肌和肝脏组织造成的脂质过氧化损伤，具有明显的抵抗脂质过氧化的功能，对小鼠运动能力的提高有良好的作用。

Even though Liu Ke is attracted and inspired by Haring, it is not simple usage of the expression and picture concept of Haring. He finishes personal narration by more flexible and warmer lines after digesting Haring's way.

即使受到了哈林的吸引和启发，刘可并没有简单地挪用哈林的表现方式和图式概念，他通过学院的技巧训练巧妙地转化了哈林的模式，以一种更为灵活的、带有温度的&线条&来完成个人的叙述。

The results show that with the increase of drill wears, the box dimension and the information dimension as well as the correlation dimension of drilling force signals appear obviously to have the downtrends. Accordingly, this characteristic can be effectively used to realize the monitoring of drill wears.Aiming at the characteristics of the highest overlap of the feature modes in each drill wear condition, the hidden Markov model is put forward to resolve the drill wear monitoring.

针对各钻头磨损状态下特征模式高度重叠的特点，提出采用隐马尔可夫模型HMM解决钻头磨损监测的思想，对1肠IM在钻头磨损监测中的原理及实现方法进行了系统的研究，完成了基于前后向算法和Baurn一Welch算法进行模型训练和识别的具体实施步骤，建立了基于S服网络的矢量量化器，解决了钻削力特征矢量的融合与编码问题。

It's assumed that the spatial distribution of geographic features is the result of the interaction of various factors and can be modeled as a complex non linear function.

本文认定地理要素的空间分布可以用一复杂的非线性函数模拟，该函数是由多种因素综合作用的结果，即地理要素的值是这些因素的函数，如果以各因素为输入、对应地理要素值为期望输出，对网络进行训练可对地理要素的空间分布进行模拟。

Furthermore, the algorithm exhibits robuster in the situation that the object is partially occluded, rotated and shape distorted. A vision-based human motion recognition method is introduced in this paper. A modified shape context method named area-based shape context is used to describe the shape. Then continuous hidden markov models are built to model the human motions, and Bayesian criterion is used to classify them.

本文的行为识别算法是建立在对人体行为观测的基础上的，用一种改进的基于人体区域的形状上下文技术表示人体轮廓形状，通过对训练样本集进行学习，利用最佳状态数估计法建立连续隐马尔可夫模型之后，利用贝叶斯判别准则，实现了对人体行为如走、跑、双脚合拢跳跃、单脚跳跃和侧向跳跃五种行为的识别。

Besides, this study suggests special training for teaching ability for preceptors before clinical teaching.

本研究建议，应对现行的临床辅导员教学课程做通盘的检视，将「不知如何评估护生的基本能力」、「无法引发护生学习的动机」、「不知如何设计教学活动」、「不知如何评量学生」及「不喜欢教学」五项教学能力作为临床教育之参考，除此之外，建议临床辅导员进行临床教学之前需进行教学训练，主动提供临床辅导员临床教学相关技能；本研究结果亦发现，年龄较高、进阶层级较高、护理工作总年资较低及自愿担任临床辅导员的护理人员的自觉教学困难较低，故建议未来在遴选临床辅导员过程中可以列入以上的条件，可减少临床辅导员自觉的教学困难。

Therapeutic horseback riding have been believed as a good media to improve balance ability. We proceeded to do a case study, by the use of a mechanical horse made by Joba EU-6441, Matsushita Electric Industrial Co., Ltd., Japan. This mechanical horse is designed according to the movement pattern of a real horse. The seat is designed to move in a pattern based on the figure of eight. Many clinics begin to adopt the mechanical horses as treatment tools, but its effectiveness in children with ADHD remains unknown.

目前对於ADHD儿童平衡能力的训练及介入成效之研究较少，本研究以骑马治疗进行个案讨论，采用的骑马机(Joba EU-6441， Matsushita Electric Industrial Co。， Ltd。， Japan)是根据真实马运动时的动作模式所设计出来的，临床上认为骑马机有可增进平衡能力的功用，目前已逐渐被临床治疗师广泛使用，但对於骑马机的确切疗效仍没有研究加以证实，尤其是骑马机是否对於平衡能力或是感觉调节能力有所帮助等。

In the United States, chronic alcoholism and hepatitis C are the most common ones.

在美国，慢性酒精中毒，肝炎是最常见的。

If you have any questions, you can contact me anytime.

如果有任何问题，你可以随时联系我。