This research introduces a new strategy in cluster ensemble selection by using Independency and Diversity metrics. In recent years, Diversity and Quality, which are two metrics in evaluation procedure, have been used for selecting basic clustering results in the cluster ensemble selection. Although quality can improve the final results in cluster ensemble, it cannot control the procedures of generating basic results, which causes a gap in prediction of the generated basic results' accuracy. Instead of quality, this paper introduces Independency as a supplementary method to be used in conjunction with Diversity. Therefore, this paper uses a heuristic metric, which is based on the procedure of converting code to graph in Software Testing, in order to calculate the Independency of two basic clustering algorithms. Moreover, a new modeling language, which we called as "Clustering Algorithms Independency Language" (CAIL), is introduced in order to generate graphs which depict Independency of algorithms. Also, Uniformity, which is a new similarity metric, has been introduced for evaluating the diversity of basic results. As a credential, our experimental results on varied different standard data sets show that the proposed framework improves the accuracy of final results dramatically in comparison with other cluster ensemble methods.

We consider the problem of clustering partially labeled data from a minimal number of randomly chosen pairwise comparisons between the items. We introduce an efficient local algorithm based on a power iteration of the non-backtracking operator and study its performance on a simple model. For the case of two clusters, we give bounds on the classification error and show that a small error can be achieved from $O(n)$ randomly chosen measurements, where $n$ is the number of items in the dataset. Our algorithm is therefore efficient both in terms of time and space complexities. We also investigate numerically the performance of the algorithm on synthetic and real world data.

This paper presents a semi-parametric algorithm for online learning of a robot inverse dynamics model. It combines the strength of the parametric and non-parametric modeling. The former exploits the rigid body dynamics equa- tion, while the latter exploits a suitable kernel function. We provide an extensive comparison with other methods from the literature using real data from the iCub humanoid robot. In doing so we also compare two different techniques, namely cross validation and marginal likelihood optimization, for estimating the hyperparameters of the kernel function.

Humans may live longer and longer, but eventually we all grow old and die. This leads to a simple question: Is there an intrinsic maximum limit to human lifespan or not? There are two equally simple answers. Either there is a limit or there isn't. Soft pretzels are one of the best things to come out of concession stands, but homemade pretzels are a million times better.

The Nobel Prize in Chemistry this morning went to Jean-Pierre Sauvage, J. Fraser Stoddart and Bernard L. Feringa for breakthroughs in designing molecular machines. Their insights on building tiny motors -- 1,000 times thinner than a strand of hair -- have led to molecular robots that can pluck out and connect individual amino acids. They can also be used for drug delivery. And there's more to come: The Nobel committee said the molecular motor is about as advanced at this stage as the electric motor was in the 1830s, "when researchers proudly displayed various spinning cranks and wheels in their laboratories without having any idea that they would lead to electric trains, washing machines, fans, and food processors." The miniscule machinery honored today will likely be used in the future to build an array of sensors, energy storage systems, and even new material.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

Large Scale Hierarchical Text Classification is a document classification challenge to classify a given Wikipedia document into one of the 325,056 categories. Wikipedia has created this very large dataset. The dataset is multi-class, multi-label and hierarchical. The numbers of categories were somewhere around 325,000 and the numbers documents size is 2,400,000. This challenge builds upon a series of successful challenges on large-scale hierarchical text classification. Demokritos will give more information on this dataset at http://lshtc.iit.demokritos.gr/

BERGSHAMRA, Sweden – Emelie Eriksson has a bond with her son that hardly seems possible: She and her son were born from the same womb. Eriksson was the first woman to have a baby after receiving a uterus from her mother, in a revolutionary operation that links three generations of their family. "It's like science fiction," Eriksson, 30, told the Associated Press in an exclusive interview at her home just north of Stockholm. "This is something that you read in history books and now in the future when you read about this, it's about me." She agreed to share her story with the AP because she hopes other women who need help having a child will be encouraged and inspired by her family's extraordinary womb transplantation experience.

This month's seminar you will learn a unique approach that can protect your enterprise or your industrial systems from cyber threat. Join ACG on the 20th of October at 12:00 pm to take a look at some of the most advanced cyber security tools in the world for combating the cyber security threat. We will review the latest technology tools available today to help businesses mitigate the risk of operating your business in today's high-threat environment. We will also look at the latest threats to cell phone technology and other personal devices. We will discuss the value of workshops with security awareness education.

This week – augmenting human senses, stealing AI, Google tries to harness cloud robotics, Samsung gets its own Siri and we get a closer look on a farming robot. Plus – what is life and what is synthetic biology, designer babies and the future of human reproduction and a mask that allows you to smell virtual worlds. Biohacking may open us a way to sense the world in a completely and different way. And there are people who are working on projects aimed at augmenting our senses in a new and creative way. A Device For The Deaf That Lets You "Listen" With Your Skin It's called Versatile Extra-Sensory Transducer, or VEST in short, and it works by picking up sound either from surrounding or from a smartphone, and then translates them into movement of 32 tiny motors that vibrate on your back.