Prostate cancer (PCa) is a leading cause of cancer-related death men worldwide. There an urgent need to develop novel biomarkers for PCa prognosis and diagnosis in the post prostate specific antigen era. Long intergenic noncoding RNAs (lincRNAs) play essential roles many physiological processes can serve as alternative cancer, but there has been no systematic investigation lincRNAs yet. Nine lincRNA co-expression modules were identified from RNA-Seq data. The association between principle...

The feasibility of remote perioperative telemonitoring patient-generated physiologic health data and patient-reported outcomes in a high risk complex general urologic oncology surgery population is evaluated.Complex surgical/urologic patients wore pedometer, completed ePROs (electronic outcome surveys) record their vitals (weight, pulse, pulse oximetry, blood pressure, temperature) via telehealth app platform. Feasibility (% adherence) was assessed as the primary measure.Twenty-one with...

First, to describe the system structure of ITS and classify into four layers according process realization. Then, expound importance, convenience efficiency, security service diversity GIS GPS in ITS(lntelligent Transport System, ITS) analyzing applications ITS. At same time put forward existent problems also indicates solution direction.

The temporal world is characterized by dynamic and variance. A lot of machine learning algorithms are difficult to be applied practical control applications directly, while hierarchical reinforcement can used deal with them. Meanwhile, it a commonplace have some partial solutions available, called options, which learned from knowledge or predefined the system, solve sub-tasks problem. option reused for policy determination in control. Many traditional semi-Markov decision process methods...

The great achievements have been approached in the development of support vector machine (SVM). It has successfully used for solving classification and regression problems. This paper aims at proposing two algorithms based on SVC SVR which are applications SVM fields regression, to handle both nominal numerical missing values. Two experiments conducted. results indicate that our provide a high accuracy when compared with some other commonly algorithms.

Traffic problems often occur due to the traffic demands by outnumbered vehicles on road. Maximizing flow and minimizing average waiting time are goals of intelligent control. Each junction wants get larger flow. During course, junctions form a policy coordination as well constraints for adjacent maximize their own interests. A good signal timing is helpful solve problem. However, there so many factors that can affect control model, it difficult find optimal solution. The disability light...

VRP(vehicle routing problem) is the core of logistics distribution and also a kind spatial activities. GIS an expert to process database. In order reduce cost distribution, combine VRP model by analyzing model. First apply clustering divide customer nodes into several parts according region density nodes, then Ant Colony Algorithm optimize in each part. It improves efficiency get better solution VRP.

Due to time series forecasting involves a rather complex data pattern, there are lots of novel approaches improve the accuracy. Unlike most conventional neural network models, which based on empirical risk minimization principle, SVM applies structural principle minimize an upper bound generalization error, than minimizing training error. It has been successfully used solve nonlinear regression and times problems. One particular model can not capture all patterns easily. This article...

Reinforcement learning is an efficient method for the control problem by interacting with environment to get optimal policy. However, it al so faces challenges such as low convergence accuracy and slow convergence. More over, conventional reinforcement algorithms could hardly solve continuous problems. The kernel-based can accelerate speed improve accuracy; policy gradient a good way deal space We proposed Sarsa(?) version of true online time difference algorithm, named True Online...

The current urban-rural gap in China is caused by several factors and embodied various respects. This paper analyzes the relevant from perspective of capability, including income, education, health, employment opportunity social security. Only improving capabiliity rural residents, can problem ever-widening between urban areas be really solved.

Based on the analysis of composition CIS, this paper presents CIS information resources model based Web. Furthermore, is three respects that are model's overall structure. These data acquisition method, which abstracts users' interests by keywords, technique supported using warehouse and mining, a function services will be used in cyber economy environment. Due to study paper, it expected expedite establishment theoretical framework methods construction CIS.

Unregistered biological words recognition is the process of identification terms that out vocabulary. Although many approaches have been developed, performance are not satisfactory. As can be viewed as a Markov process, we put forward Q-learning with transfer learning algorithm to detect unregistered from texts. With Q-learning, recognizer attain optimal solution during interaction texts and contexts. During processing, approach utilized fully take advantage knowledge gained in source task...

This workshop is focus on Machine Learning. learning the most growing branch of computer science, driven by ongoing explosion in availability data. evolved from artificial intelligence and deals with many different problems aspects to solve various tasks, including knowledge discovery, data mining, decision support etc. A grand challenge discover relevant structural patterns and/or temporal complex data, which are often hidden not accessible human expert. Biomedicine a medical science that...

Dear all we are glad to welcome you the SUIWML2016: Soochow University International Workshop Series on Machine Learning and its Applications in Biomedicine. This is one scientific conference series of School Computer Science Technology University, PCR, China. workshop also a section MOL2NET conference. focus Learning. learning most growing branch computer science, driven by ongoing explosion availability data. evolved from artificial intelligence deals with many different problems aspects...

So far, by means of the analysis low-light image from DMSP/OLS, many products can be obtained. These are used in areas such as urban extents evaluation, population studies and night-time low cloud fog detection. In this paper, a new light detection algorithm for images DMSP/OLS is proposed. And compared with Elvidge's algorithm, advantages proposed analyzed. The experiment results show that great than algorithm.

First, to describe the system structure of ITS and classify into four layers according process realization. Then, expound importance, convenience efficiency, security service diversity GIS GPS in ITS(lntelligent Transport System, ITS) analyzing applications ITS. At same time put forward existent problems also indicates solution direction.

Web service has become an important issue that attracts the researchers from both computer science and communication fields. SOA (service-oriented architecture) based on is no doubt a perfect software engineering thought. In order to overcome some defects in existing spatial logistics system, A new design project of system was proposed this paper. Spatial architecture were introduced details. Finally, SOA-based prototype implemented justify our solution.