Optimization problem
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Publications (70)

1Metric Learning for Synonym Acquisitionsimilar points S and pairs of dissimilar points D, the optimization problem is: minA KL(p(x; I)p(x;A)) subject to dA(xi, xj)...

2An Algorithmic Framework for Solving the Decoding Problem in Statistical Machine TranslationTranslation (SMT) is a computationally hard combinatorial optimization problem. In this paper, we propose a new algorithmic framework...

3Metric Learning for GraphBased Domain AdaptationGRF algorithm (Zhu et al., 2003) which minimizes the optimization problem shown in (2). min Yˆ ∑ i, j ∑ l∈L Wi, j(Yˆil −...

4Factored Language Model based on Recurrent Neural Networkfactors and shorter context, which can address the optimization problem well in factored ngram language models. • Since...

5A Lazy Learning Model for Entity Linking using QuerySpecific Informationa disambiguation model is to solve the following optimization problem: e = argmax ci∈Cq φq(q, ci) (1) Figure 3: Lazy...

6HCAMiner: Mining Concept Associations for Knowledge Discovery through Concept Chain Queriesmaximize the “goodness” function TS(·) is returned. Our optimization problem is now to find an optimal path that maximizes the...

7Kernel Engineering for Fast and Easy Design of Natural Language Applications2010  Alessandro Moschitti2 2 yi( w ⋅ x i + b) ≥1 € ⇒ € ⇒ € ⇒ Optimization Problem Optimal Hyperplane: Minimize Subject...

8Bayesian Text Segmentation for Index Term Identification and Keyphrase Extraction(2147) lateral transfer (283) lexical item (3745) optimization problem (838) cdna microarray (1869) evolutionary history...

9Visualization on Financial Terms via Risk Ranking from Financial Reports2012  MingFeng Tsai,ChuanJu WangTable 1: Experimental Results of Different Methods. optimization problem. min w V (w,ξ) = 1 2 〈w,w〉+ C∑ξi, j,k s.t. ...

10Extracting Word Sequence Correspondences with Support Vector Machines2002  Kengo Sato,Hiroaki Saitoconstraints (3). According to Lagrange’s theory, the optimization problem is transformed to minimizing the Lagrangian L : L...