 LHC and ATLAS detector.  Standard Model, Higgs Mechanism and its cross-section and branching ratio.  Show the most updated results of 2011+2012  H→γγ  H→ZZ→4l  H→WW  Combination of 2011+2012  Conclusion

 6.1 Basic Concepts  6.2 Decision Tree Induction  6.3 Bayes Classification Methods  6.4 Rule-Based Classification  6.5 Model Evaluation and Selection  6.6 Techniques to Improve Classification Accuracy

南京大学技术报告：Model driven architecture - Principles and practice（张天）

《人工智能、机器学习与大数据》课程教学资源（参考文献）Social relations model for collaborative filtering

1 Introduction Problem Definition Existing Methods 2 Isotropic Hashing 3 Supervised Hashing with Latent Factor Model 4 Supervised Multimodal Hashing with SCM 5 Multiple-Bit Quantization Double-Bit Quantization Manhattan Quantization 6 Conclusion 7 Reference

1 Introduction Problem Definition Existing Methods Motivation and Contribution 2 Isotropic Hashing Model Learning Experimental Results 3 Multiple-Bit Quantization Double-Bit Quantization Manhattan Quantization 4 Conclusion 5 Reference

• Threat Model • Control Flow Graph • Control Flow Integrity basic implementation – Build CFG – Instrumentation – Evaluation – Security and Adversary • Binary-CFI(CCFIR) – Introduce – Implementation – Context-Sensitive CFI

1.1 电路和电路模型（model) 1.2 电流和电压的参考方向 (reference direction) 1.3 电路元件的功率 (power) 1.4 电阻元件 (resistor) 1.5 电感元件 (inductor) 1.6 电容元件 (capacitor) 1.7 电源元件 (independent source) 1.8 受控电源 (非独立源) 1.9 基尔霍夫定律 ( Kirchhoff’s Laws ) (controlled sources or dependent sources)

 Introduction  Array signal model  Low resolution Methods  High resolution Methods  Applications  Future Directions

《计算机科学》相关教学资源（参考文献）Convergence of MCMC and Loopy BP in the Tree Uniqueness Region for the Hard-Core Model