<html><head><meta http-equiv="Content-Type" content="text/html charset=iso-8859-1"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; ">You may also use Weka and logistic classifier as a MaxEnt classifier. According to <a href="http://en.wikipedia.org/wiki/Multinomial_logit">wikipedia</a> these two is equal:<div><br></div><div>"In some fields of machine learning (e.g. natural language processing), when a classifier is implemented using a multinomial logit model, it is commonly known as a maximum entropy classifier, conditional maximum entropy model or MaxEnt model for short. "</div><div><br></div><div>you can find more about Weka at:</div><div><a href="http://www.cs.waikato.ac.nz/ml/weka/">http://www.cs.waikato.ac.nz/ml/weka/</a></div><div><br></div><div><div><br><div apple-content-edited="true">
<span class="Apple-style-span" style="border-collapse: separate; color: rgb(0, 0, 0); font-family: Helvetica; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: 2; text-align: -webkit-auto; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-border-horizontal-spacing: 0px; -webkit-border-vertical-spacing: 0px; -webkit-text-decorations-in-effect: none; -webkit-text-size-adjust: auto; -webkit-text-stroke-width: 0px; font-size: medium; "><span class="Apple-style-span" style="border-collapse: separate; color: rgb(0, 0, 0); font-family: Helvetica; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: 2; text-align: -webkit-auto; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-border-horizontal-spacing: 0px; -webkit-border-vertical-spacing: 0px; -webkit-text-decorations-in-effect: none; -webkit-text-size-adjust: auto; -webkit-text-stroke-width: 0px; font-size: medium; "><div style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; "><span class="Apple-style-span" style="border-collapse: separate; color: rgb(0, 0, 0); font-family: Helvetica; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: 2; text-align: -webkit-auto; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-border-horizontal-spacing: 0px; -webkit-border-vertical-spacing: 0px; -webkit-text-decorations-in-effect: none; -webkit-text-size-adjust: auto; -webkit-text-stroke-width: 0px; font-size: medium; "><div style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; "><span class="Apple-style-span" style="border-collapse: separate; color: rgb(0, 0, 0); font-family: Helvetica; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: 2; text-align: -webkit-auto; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-border-horizontal-spacing: 0px; -webkit-border-vertical-spacing: 0px; -webkit-text-decorations-in-effect: none; -webkit-text-size-adjust: auto; -webkit-text-stroke-width: 0px; font-size: medium; "><div style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; ">Regards,</div><div style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; "><br>Majid,</div><div style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; "><br></div><div style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; ">/******************************</div><div style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; ">Majid Laali,</div><div style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; ">Natural Language and text Processing Laboratory(<a href="http://ece.ut.ac.ir/NLP">http://ece.ut.ac.ir/NLP</a>),<br>School of Electrical and Computer Engineering,<br>College of Engineering, University of Tehran, Tehran, Iran<br><a href="mailto:m.laali@ut.ac.ir">m.laali@ut.ac.ir</a><br></div><div style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; ">******************************/</div></span></div></span></div></span></span>
</div>
<br><div><div>On Aug 23, 2012, at 12:51 AM, Ken Litkowski <<a href="mailto:ken@clres.com">ken@clres.com</a>> wrote:</div><br class="Apple-interchange-newline"><blockquote type="cite">Can anyone point me to a Windows Maxent executable implementing Generalized Iterative Scaling with Gaussian priors, with both training and predict modes? I have been unable to compile Le Zhang's C++ code on my system.<br><br> Ken<br><br>-- <br>Ken Litkowski TEL.: 301-482-0237<br>CL Research EMAIL: <a href="mailto:ken@clres.com">ken@clres.com</a><br>9208 Gue Road Home Page: <a href="http://www.clres.com">http://www.clres.com</a><br>Damascus, MD 20872-1025 USA Blog: <a href="http://www.clres.com/blog">http://www.clres.com/blog</a><br><br><br>_______________________________________________<br>UNSUBSCRIBE from this page: <a href="http://mailman.uib.no/options/corpora">http://mailman.uib.no/options/corpora</a><br>Corpora mailing list<br><a href="mailto:Corpora@uib.no">Corpora@uib.no</a><br>http://mailman.uib.no/listinfo/corpora<br></blockquote></div><br></div></div></body></html>