正在加载图片...
.966 北京科技大学学报 第30卷 Proceedings of the 12th International Conference on Inductive Knowl Data Eng:2006,18(6):770 Logic Programming-Berlin:Springer-Verlag.2002:133 [8]Yin XX.Han J W,Yang J.et al.Cross Mine:efficient classifi- [4]Peter A.Nicolas L.Naive Bayesian classification of structured da- cation across multiple database relations//Constraint-Based Min- ta.Mach Learn:2004.57(3):233 ing and Inductive Databases.Hinterzarten:Springer,2004:172 [5]Ceci M.Appice A.Malerba D.Mr SBC:a multi-relational Naive [9]Liu H,Yin XX,Han J W.An efficient multi-relational Naive Bayesian classifier Lecture Notes in Artificial Intelligence Bayesian classifier based on semantic relationship graphsPro Berlin:Springer.2003,95 ceedings of ACM-SIGKDD Workshop on Multi-Relational Data [6]Niels L.Kristian K.Luc D.nFOIL:integrating Naive Bayes and Mining.Chicago.2005:39 FOIL/Proceedings of the 20th National Conference on Artifi- [10]Peng HC,Long F H.Ding C.Feature selection based on mutu- cial Intelligence.Cambridge.2005:795 al information criteria of maxdependency,max relevance and [7]Yin XX.Han J W,Yang J,et al.Efficient classification across min-redundaney.IEEE Trans Pattern Anal Mach Intell, multiple database relations:a Cross Mine approach.IEEE Trans 2005,27(8):1226 (上接第915页) pendence of thermally activated flux flow resistance in 使得当磁场垂直于超导薄膜表面时电阻转变展宽现 Tl2BazCaCu2Os thin films.Phys C.2005.423:175 象更为明显，通过分析超导薄膜的电阻转变数据计 [5]Espinosa-Arronte B.Andersson M.Scaling of vortex-liquid resis- 算出了TBCC0/LA0的各向异性参量，Y=H隐(O)/ tivity in high-Te superconductors.Phys Rev B.2005,71: 024507 H62(0)=14.58. [6]Tinkham M.Resistive transition of high temperature supercon- ductor.Phys Rev Lett.1988.61:1658 参考文献 [7]Festin O.Svedlindh P.Vortex fluctuation in high-T thin films [1]Xu X J.FuL,Wang L B.et al.Dependence of activation energy close to the resistive transition.Phys Rev B.2004.70:024511 upon magnetic field and temperature in YBazCusO7-,epitaxial [8]Blatter G.Fegelman M V,Geshkenbein V B.et al.Vortices in thin film.Phys Rev B.1999.59:608 hightemperature superconductors.Rev Mod Phys.1994.66; [2]Yin D L.QiZ.Xu H Y,ct al.Resistive transition equation of 1125 the mixed state of superconductors.Phys Rev B.2003.67: [9]Song Y Q.Lee M.Halperin W P,Magnetie flux-lattice 092503 anisotropy of TlzBazCaCusO byTI nuclear magnetic reso [3]XuS Y,Li Q.Wertz E.et al.High critical current density and nance.Phys Rev B.1991,44:914 vortex pinning of epitaxial MgB2 thin films.Phys Rev B.2003. [10]Kim D H.Gray K E.Kampwirth R T,et al.Magnetocondue- 68,224501 tance of Tl2Ba2CaCu20,films in fluctuation regime.Phys Rev [4]Lu X F,Wang Z.Zhang YZ,et al.Field and temperature de- B,1991,43:2910Proceedings of the 12th International Conference on Inductive Logic Programming．Berlin：Springer-Verlag2002：133 ［4］ Peter ANicolas L．Naïve Bayesian classification of structured data．Mach Learn200457（3）：233 ［5］ Ceci MAppice AMalerba D．Mr-SBC：a mult-i relational Naïve Bayesian classifier ∥ Lecture Notes in A rtificial Intelligence． Berlin：Springer2003：95 ［6］ Niels LKristian KLuc D．nFOIL：integrating Naïve Bayes and FOIL∥ Proceedings of the 20th National Conference on A rtificial Intelligence．Cambridge2005：795 ［7］ Yin X XHan J WYang Jet al．Efficient classification across multiple database relations：a CrossMine approach．IEEE T rans Knowl Data Eng200618（6）：770 ［8］ Yin X XHan J WYang Jet al．CrossMine：efficient classification across multiple database relations∥ Constraint-Based Mining and Inductive Databases．Hinterzarten：Springer2004：172 ［9］ Liu HYin X XHan J W．An efficient mult-i relational Naïve Bayesian classifier based on semantic relationship graphs∥ Proceedings of ACM-SIGKDD Workshop on Multi-Relational Data Mining．Chicago2005：39 ［10］ Peng H CLong F HDing C．Feature selection based on mutual information criteria of max-dependencymax-relevance and min-redundancy． IEEE T rans Pattern A nal Mach Intell 200527（8）：1226 （上接第915页） 使得当磁场垂直于超导薄膜表面时电阻转变展宽现 象更为明显．通过分析超导薄膜的电阻转变数据计 算出了 TBCCO／LAO 的各向异性参量γ＝ H ab c2（0）／ H c c2（0）＝14∙58． 参 考 文 献 ［1］ Xu X JFu LWang L Bet al．Dependence of activation energy upon magnetic field and temperature in YBa2Cu3O7— x epitaxial thin film．Phys Rev B199959：608 ［2］ Yin D LQi ZXu H Yet al．Resistive transition equation of the mixed state of superconductors． Phys Rev B200367： 092503 ［3］ Xu S YLi QWertz Eet al．High critical current density and vortex pinning of epitaxial MgB2thin films．Phys Rev B2003 68：224501 ［4］ Lu X FWang ZZhang Y Zet al．Field and temperature dependence of thermally activated flux flow resistance in Tl2Ba2CaCu2O8thin films．Phys C2005423：175 ［5］ Espinosa-Arronte BAndersson M．Scaling of vortex-liquid resistivity in high-Tc superconductors． Phys Rev B200571： 024507 ［6］ Tinkham M．Resistive transition of high-temperature superconductor．Phys Rev Lett198861：1658 ［7］ Festin OSvedlindh P．Vortex fluctuation in high-Tc thin films close to the resistive transition．Phys Rev B200470：024511 ［8］ Blatter GFegelman M VGeshkenbein V Bet al．Vortices in high-temperature superconductors． Rev Mod Phys199466： 1125 ［9］ Song Y Q Lee M Halperin W P Magnetic-flux-lattice anisotropy of Tl2Ba2CaCu3O10 by 205Tl nuclear magnetic resonance．Phys Rev B199144：914 ［10］ Kim D HGray K EKampwirth R Tet al．Magnetoconductance of Tl2Ba2CaCu2O x films in fluctuation regime．Phys Rev B199143：2910 ·966· 北 京 科 技 大 学 学 报 第30卷