Differences

This shows you the differences between two versions of the page.

--- handouts [2011/01/26 19:49] – nick
+++ handouts [2011/03/08 12:30] (current) – nick
@@ Line 4: / Line 4: @@
   * Week One - Fuzzy Sets and Logic
+       * {{:how_to_study.pdf|how to study}}
        * {{:paper_writing.pdf|paper writing handout}}
        * {{:active_reading.pdf|active reading handout}}
@@ Line 56: / Line 57: @@
         * {{:byte-hiddenlayer-1989.pdf|What's Hidden in the Hidden Layers}}
+  * Week Five and Six - Evolutionary Computing
-  * Evolutionary Computing
        * {{:ecbiblio.pdf|Evolutionary Computing Bibliography}}
        * {{:ec1.pdf|What is evolutionary computation?}}
@@ Line 67: / Line 67: @@
        * {{:es2.pdf|Fast Evolution strategies}}
+  * Week Five and Six - Genetic Computing
-  * Genetic Computing
        * {{:gp1.pdf|Genetic Programming: An Introduction and Tutorial}}
        * {{:gp2.pdf|Genetic Programming}}
@@ Line 77: / Line 76: @@
        * {{:ga3.pdf|A Genetic Algorithm for Constructing Compact Binary Decision Trees}}
+  * Week Six and Seven - Probabilistic Inference
+       * {{:bayenefoc.pdf|Bayesian Networks for Clinical Decision Support}}
+       * {{:bayes.science99.pdf|Bayes Offers a 'New' Way to Make Sense of Numbers}}
+       * {{:bmc.pdf|Seeded Bayesian Networks}}
+       * {{:bn.pdf|Bayesian Networks}}
+       * {{:cbibn.pdf|Inference in Bayesian Networks}}
+       * {{:charniak_91.pdf|Bayesian Networks without Tears}}
+       * {{:deductive.pdf||Deductive reasoning}}
+       * {{:ebi_apin.pdf|Explaining Inferences in Bayesian Networks}}
+       * {{:ijar95.pdf|Inference in Belief Networks: A Procedural Guide}}
+       * {{:ismb93.pdf|Protein Secondary Structure Modeling}}
+       * {{:learning.pdf|A Tutorial on Learning With Bayesian Networks}}
+       * {{:pcbi.pdf|A Primer on Learning in Bayesian Networks for Computational Biology}}
+       * {{:pearl.pdf|BAYESIAN NETWORKS}}
+       * {{:prl.pdf|Belief Networks Hidden Markov Models & Markov Random Fields a Unifying}}
+       * {{:science-2004-friedman.pdf|Inferring Cellular Networks Using Probabilistic Graphical Models}}
+  * Week Eight - Granular Computing
-  * Granular Computing
        * {{:tylin.pdf|Granular Computing and Rough Sets}}
        * {{:art_of_grc.pdf|The Art of Granular Computing}}
@@ Line 89: / Line 101: @@
        * {{:liang.pdf|Information granules and entropy theory in information systems}}
        * {{:liu.pdf|Theoretical Study of Granular Computing}}
+       * {{:human-inspired_granular_computing.pdf|Human Inspired Granular Computing}}
+  * Week Nine - Web Intelligence, Brain Informatics and Granular Computing
+       * {{:ning.pdf|Ways to Develop Human-Level Web Intelligence}}
+       * {{:wimbibook.pdf|Web Intelligence meets Brain Informatics}}
+       * {{:wimbi.pdf|Web Intelligence meets Brain Informatics at the Language Barrier}}
+       * {{:yyao2007.pdf|Granular Computing for Web Intelligence and Brain Informatics}}
+       * {{:zadehgc.pdf|Reflections on Soft Computing and Granular Computing}}
+  * Week Ten - Expert Systems, Hybrid Computing Systems
+       * {{:aim-665.pdf|Expert Systems: Where are we and ...}}
+       * {{:expert_system.pdf|Expert Systems}}
+       * {{:fuzzy_chapter.pdf|rule-based expert systems}}
+       * {{:newell.pdf|Extracting Knowledge from Expert Systems}}
+       * {{:newell1.pdf|Making Expert Systems Explicit}}
+       * {{:newell2.pdf|Rule-Based Expert Systems: The MYCIN Experiments}}
+       * {{:sdarticle.pdf|Integration Architecture of Expert Systems, Neural Networks, Hypertext, and Multimedia}}
+       * {{:markov.pdf|Markov Algorithms}}
+  * Week Eleven and Twelve - Hybrid Intelligent Systems
+       * {{:lisaarticle.pdf|Bayesian Network Modelling for Evolutionary Genetic Structures}}
+       * {{:camwa2008pp.pdf|Rough Sets Theoretical and Computational Hybrid Intelligent System for Survival Analysis}}
+       * {{|Finding Local Structural Differences between a Normal and Tumor Graph}}