program.html

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title: Program
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<h1>Program Schedule for Uncertainty 99</h1>
<h2>Tutorials: Sunday, January 3, 1999 </h2>
<ul>
    <li><b>Tutorial A: 8:30am - 
    10:30am</b> 
    <p>Susan Dumais, Microsoft Research<br>
    <a href="dumais.htm">Information Access and Retrieval</a>
    <p></p>
    <li><b>Tutorial B: 11:00am - 12:00pm 
    and 1:30pm - 2:30pm</b> 
    <p>David Spiegelhalter, MRC Biostatistics Unit, 
    Institute for Public Health, Cambridge<br>
    <a href="spiegelh.htm">Bayesian Statistical Analysis</a>
    <p></p>
    <li><b>Tutorial C: 3.30pm - 
    5:00pm</b> 
    <p>Trevor Hastie, Stanford University<br>
    <a href="hastie.htm">Additive Logistic Regression: A Statistical View of Boosting</a>
    <p></p>
    <li><b>Banquet: 7:00pm</b> 
    <p>Speaker: Ed George </p></li></ul>
<h2>Monday Jan 4 </h2>
<ul>
    <p>7:30 to 8:45 REGISTRATION/CONTINENTAL BREAKFAST 
    <p>8:45 to 9:00 OPENING COMMENTS
    <br>David Heckerman, Joe Whittaker
    <p>9:00 to 11:00 SESSION 1 <b>Model 
    Choice</b> CHAIR: Thomas Richardson
    <table>
        
        <tr>
            <td>Pedro Domingos </td>
            <td><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/proceval.htm">Process-oriented evaluation: The next step</a></td></tr>
        <tr>
            <td>Alan Gelfand, Sujit Ghosh </td>
            <td><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/modelcho.htm">Model choice</a></td></tr>
        <tr>
            <td>Murlikrishna Viswanathan </td>
            <td><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/comppoly.htm">A note on the comparison of polynomial selection methods</a></td></tr>
    <tr>
            <td>Matthew Brand </td>
            <td><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/brand.htm">Pattern discovery via entropy minimization</a></td></tr>
    </table>        
    
    <p>11:00 to 11:30 BREAK 
    <p>11:30 to 12:30 SESSION 2 <b>Latent variables </b>CHAIR: Kathyrn Laskey
    <table>
        
        
        <tr>
            <td>Dan Geiger, David Heckerman, Henry King, 
                Chris Meek </td>
            <td><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/geiger.htm">On the geometry of DAG models with hidden variables</a></td></tr>
        <tr>
            <td>Thomas Richardson, Heiko Bailer, 
                Mooulinath Bannerjee </td>
            <td><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/banerjee.htm">Efficient structure search in the presence of latent 
                variables</a></td></tr></table>
    <p>12:30 to 1:30 LUNCH (provided) 
    <p>1:30 to 5:00 BREAK 
    <p>5:00 to 6:00 POSTER SUMMARIES (2 mins/poster) CHAIR: Joe Whittaker 
    <p>6:00 to 7:00 DINNER 
    <p>7:00 to 9:30 POSTER SESSIONS </p></ul>
<h2>Tuesday Jan 5</h2>
<ul>
    <p>8:00 to 9:00 CONTINENTAL BREAKFAST 
    <p>9:00 to 10:00 SESSION 3 <b>Theory</b> CHAIR: David Madigan
    <table>
        
        <tr>
            <td>Phil Dawid, Milan Studeny </td>
            <td><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/dawstud.htm">Conditional products: an alternative approach to 
                conditional independence</a></td></tr>
        <tr>
            <td>Wenxin Jiang, Martin Tanner </td>
            <td><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/himixexp.htm">Hierarchical mixtures-of-experts for generalized linear 
                models:some results on denseness and consistency</a></td></tr>
        </table>
    <p>10:00 to 10:30 COFFEE BREAK 
    <p>10:30 to 11:30 SESSION 4 <b>Regression </b>CHAIR: Padhraic Smyth
    <table>
        

        <tr>
            <td>Greg Ridgeway, David Madigan, Thomas 
                Richardson </td>
            <td><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/boostmet.htm">Boosting methodology for regression problems</a></td></tr>
        <tr>
            <td>Tommi Jaakkola, David Haussler </td>
            <td><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/jaakkola.htm">Probabilistic kernel regression models</a></td></tr></table>
    
   <p>11:30 to 12:30 SESSION 5 <b>Computational Methods </b>CHAIR: Padhraic Smyth
    <table>    
    <tr>
            <td>Nir Friedman, Lise Getoor </td>
            <td><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/getoor.htm">Learning structure from data efficiently: applying bounding 
                techniques</a></td></tr>
    <tr>
            <td>Tim Oates, Paul Cohen, Casey Durfee </td>
            <td><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/oates.htm">Efficient mining of statistical dependencies</a></td></tr>
    </table>
    
    
    
    <p>12:30 to 2:00 LUNCH (provided) 
    <p>2:00 to 3:30 SESSION 6 <b>Applications </b>CHAIR: 
    <table>
        
        <tr>
            <td>Louis A Cox </td>
            <td><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/predchem.htm">Causal mechanisms and classification trees for predicting 
                chemical carcinogens</a></td></tr>
        <tr>
            <td>Jan De Geeter </td>
            <td><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/degeeter.htm">Geometric modelling of a nuclear environment</a></td></tr>
        <tr>
            <td>Lewis Frey, Doug Fisher </td>
            <td><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/frey.htm">Modeling decision tree performance with the power law</a></td></tr></a></td></tr></table>
    <p>3:30 to 4:40 BUSINESS MEETING</p></ul>
<h2>Wednesday Jan 6 </h2>
<ul>
    <p>8:00 to 9:00 CONTINENTAL BREAKFAST 
    <p>9:00 to 10:30 SESSION 7 <b>Inference</b> CHAIR: Greg Cooper
    <table>
        
        <tr>
            <td>Michael Haft, Reimar Hofmann, Volker 
                Tresp </td>
            <td><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/haft.htm">Model-independent mean field theory as a local method for 
                approximate propagation of information</a></td></tr>
        <tr>
            <td>H Attias </td>
            <td><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/attias.htm">Hierarchical IFA belief networks</a></td></tr>
        <tr>
            <td>Kalev Kask, Rina Dechter </td>
            <td><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/.htm">Stochastic local search for Bayesian network</a></td></tr></table>
    <p>10:30 to 11:00 COFFEE BREAK 
    <p>11:00 to 12:00 SESSION 8 <b>Applications </b>CHAIR: Doug Fisher
    <table>
        
        <tr>
            <td>Peter Spirtes, Greg Cooper </td>
            <td><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/.htm">An 
                experiment in causal discovery using a pneumona database</a></td></tr>
        <tr>
            <td>David Madigan </td>
            <td><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/.htm">Bayesian graphical models for non-compliance in randomaized 
                trials</a></td></tr></table>
    <p>12:00 to 12:15 CLOSING REMARKS </p></ul>

<hr color="#000055">
<font size="+1">Plenary Presentations will last 25 minutes with 5 minutes for questions</font>    
<hr color="#000055">    
<br>

<h2 designtimesp="27700">Poster Sessions</h2>
<p designtimesp="27701">
<table designtimesp="27702">
<tbody>
<tr designtimesp="27703">
<td designtimesp="27704">Almond Herskovits Mislevey Steinberg </td>
<td designtimesp="27705"><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/almond.htm">Transfer of information between system and evidence 
models</a> </td></tr>
<tr designtimesp="27706">
<td designtimesp="27707">Chien George </td>
<td designtimesp="27708"><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/chien.htm">Bayesian collaborative filtering</a> </td></tr>
<tr designtimesp="27709">
<td designtimesp="27710">Cowell </td>
<td designtimesp="27711">Parameter learning from incomplete data for Bayesian 
networks </td></tr>
<tr designtimesp="27712">
<td designtimesp="27713">Friedman Goldszmidt Wyner </td>
<td designtimesp="27714"><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/nfriedma.htm">On the application of the bootstrap for computing 
confidence measures on features of induced Bayesian networks</a></td></tr>
<tr designtimesp="27715">
<td designtimesp="27716">Golinelli Madigan Consonni </td>
<td designtimesp="27717"><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/golinell.htm">Relaxing the local independence assumption for 
quantitative learning in acyclic directed graphical models through hierarchical 
partition models</a> </td></tr>
<tr designtimesp="27718">
<td designtimesp="27719">Humphreys Titterington </td>
<td designtimesp="27720"><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/binabolt.htm">A new method of learning in binary Boltzmann machines</a> 
</td></tr>
<tr designtimesp="27721">
<td designtimesp="27722">Jensen </td>
<td designtimesp="27723">Statistical Challenges to inductive inference in linked 
data </td></tr>
<tr designtimesp="27724">
<td designtimesp="27725">Jorgensen Hunt </td>
<td designtimesp="27726"><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/jorgense.htm">Mixture model clustering with the multimix program</a> 
</td></tr>
<tr designtimesp="27727">
<td designtimesp="27728">Keogh Pazzani </td>
<td designtimesp="27729"><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/keogh.htm">Algorithms for learning augmented bayesian classifiers</a> 
</td></tr>
<tr designtimesp="27730">
<td designtimesp="27731">Kontkanen Myllymaki Silander Tirri </td>
<td designtimesp="27732">Exploring the robustness of Bayesian and 
information-theoretic methods for predictive inference </td></tr>
<tr designtimesp="27733">
<td designtimesp="27734">Kreutz Reimetz Sendhoff Weihs Seelen </td>
<td designtimesp="27735"><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/optidens.htm">Structure optimization of density estimation models 
applied to regression problems with dynamic noise</a> </td></tr>
<tr designtimesp="27736">
<td designtimesp="27737">Larkin </td>
<td designtimesp="27738">A learning rule based method of feature extraction with 
application to acoustic signal classification </td></tr>
<tr designtimesp="27739">
<td designtimesp="27740">Laskey </td>
<td designtimesp="27741"><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/laskey.htm">Learning extensible multi-entity directed graphical 
models</a> </td></tr>
<tr designtimesp="27742">
<td designtimesp="27743">Monti Cooper </td>
<td designtimesp="27744"><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/cbdiscre.htm">A latent variable model for multivariate discretization</a> 
</td></tr>
<tr designtimesp="27745">
<td designtimesp="27746">Pearl Meshkat </td>
<td designtimesp="27747"><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/pearl.htm">Testing regression models with fewer regressors</a> 
</td></tr>
<tr designtimesp="27748">
<td designtimesp="27749">Ramoni Sebastiani </td>
<td designtimesp="27750"><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/ramoni.htm">Learning conditional probabilities from incomplete 
data: an experimental comparison</a> </td></tr>
<tr designtimesp="27751">
<td designtimesp="27752">Rida Labbi Pelegrini </td>
<td designtimesp="27753"><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/rida.htm">Experts combination through density decomposition</a> 
</td></tr>
<tr designtimesp="27754">
<td designtimesp="27755">Roedder </td>
<td designtimesp="27756"><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/roedder.htm">Entropy driven probabilistic inference and 
inconsistency</a> </td></tr>
<tr designtimesp="27757">
<td designtimesp="27758">Schmill Cohen </td>
<td designtimesp="27759"><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/schmill.htm">Learned models for continuous planning</a> </td></tr>
<tr designtimesp="27760">
<td designtimesp="27761">Schubert </td>
<td designtimesp="27762"><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/optkalgo.htm">Efficient optimization of large k real-time control
algorithm</a></td></tr>
<tr designtimesp="27763">
<td designtimesp="27764">Sebastiani Ramoni </td>
<td designtimesp="27765"><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/sebastia.htm">Model folding for data subject to nonresponse</a> 
</td></tr>
<tr designtimesp="27766">
<td designtimesp="27767">Settimi Smith </td>
<td designtimesp="27768"><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/settimi.htm">Geometry moments and Bayesian networks with hidden 
variables</a> </td></tr>
<tr designtimesp="27769">
<td designtimesp="27770">Smyth </td>
<td designtimesp="27771">Joint probabilistic clustering of multivariate and 
sequential data </td></tr>
<tr designtimesp="27772">
<td designtimesp="27773">Stanghellini Whittaker </td>
<td designtimesp="27774"><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/stanghel.htm">Analysis of multivariate time series via a hidden 
graphical model</a> </td></tr>
<tr designtimesp="27775">
<td designtimesp="27776">Vogler </td>
<td designtimesp="27777"><a href="http://web.archive.org/web/20011025032302/http://www.maths.lancs.ac.uk/probnetap.htm">Visual design support for probabilistic network 
application</a> </td></tr></tbody></table>
<p>