I have been asked to review the theory of vector boson structure. Recent discussion about the possibility of composite vectors and the meaning of structure has been rather confusing, but I believe a consensus is beginning to emerge. Because the following talk by Dr. Miyamoto will review in some detail the phenomenological possibilities, I will concentrate on the theoretical underpinnings. In th...

Network embedding is a classical task which aims to map the nodes of a network to lowdimensional vectors. Most of the previous network embedding methods are trained in an unsupervised scheme. Then the learned node embeddings can be used as inputs of many machine learning tasks such as node classification, attribute inference. However, the discriminant power of the node embeddings maybe improved...

In other words, the method of linearization to analyze a non-linear sys­ tem near a critical point doesn’t fail entirely, but we don’t end up with a definite picture of the non-linear system near P; we only get a list of possi­ bilities. In general one has to rely on computation or more powerful ana­ lytic tools to get a clearer answer. The first thing to try is a computer picture of the non-li...

Support vector machine (SVM) is a powerful technique for classification. However, SVM is not suitable for classification of large datasets or text corpora, because the training complexity of SVMs is highly dependent on the input size. Recent developments in the literature on the SVM and other kernel methods emphasize the need to consider multiple kernels or parameterizations of kernels because ...

In this paper, we proposed an efficient and accurate text chunking system using linear SVM kernel and a new technique called masked method. Previous researches indicated that systems combination or external parsers can enhance the chunking performance. However, the cost of constructing multi-classifiers is even higher than developing a single processor. Moreover, the use of external resources w...

In this paper, we first introduce some new Morrey-type spaces containing generalized Morrey space and weighted Morrey space with two weights as special cases. Then we give the weighted strong type and weak type estimates for fractional integral operators [Formula: see text] in these new Morrey-type spaces. Furthermore, the weighted strong type estimate and endpoint estimate of linear commutator...

it is shown that every  almost linear bijection $h : arightarrow b$ of a unital $c^*$-algebra $a$ onto a unital$c^*$-algebra $b$ is a $c^*$-algebra isomorphism when $h(3^n u y) = h(3^n u) h(y)$ for allunitaries  $u in a$, all $y in a$, and all $nin mathbb z$, andthat almost linear continuous bijection $h : a rightarrow b$ of aunital $c^*$-algebra $a$ of real rank zero onto a unital$c^*$-algebra...

We present a novel method for discovering and modeling the relationship between informal Chinese expressions (including colloquialisms and instant-messaging slang) and their formal equivalents. Specifically, we proposed a bootstrapping procedure to identify a list of candidate informal phrases in web corpora. Given an informal phrase, we retrieve contextual instances from the web using a search...

‎let $v$ be an $n$-dimensional complex inner product space‎. ‎suppose‎ ‎$h$ is a subgroup of the symmetric group of degree $m$‎, ‎and‎ ‎$chi‎ :‎hrightarrow mathbb{c} $ is an irreducible character (not‎ ‎necessarily linear)‎. ‎denote by $v_{chi}(h)$ the symmetry class‎ ‎of tensors associated with $h$ and $chi$‎. ‎let $k(t)in‎ (v_{chi}(h))$ be the operator induced by $tin‎ ‎text{end}(v)$‎. ‎the...

This paper presents a bilingual semisupervised Chinese word segmentation (CWS) method that leverages the natural segmenting information of English sentences. The proposed method involves learning three levels of features, namely, character-level, phrase-level and sentence-level, provided by multiple submodels. We use a sub-model of conditional random fields (CRF) to learn monolingual grammars, ...